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V7 vs. LlamaIndex
V7 vs. LlamaIndex
V7 vs. LlamaIndex
Searching for a good LlamaIndex alternative?
Searching for a good LlamaIndex alternative?
Searching for a good LlamaIndex alternative?
Evaluating LlamaIndex as a document AI and RAG platform
Evaluating LlamaIndex as a document AI and RAG platform
V7
vs.
V7
vs.
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Why choose V7 over LlamaIndex?
Both platforms enable document AI workflows. LlamaIndex focuses on developer-led RAG building, while V7 Go offers pre-built agents for enterprises.
Overview
Overview
Visual Grounding & Auditability
V7 Go provides AI citations that visually trace every extracted data point to its source document location, creating audit trails that LlamaIndex's indexing approach does not natively provide.
Pre-Built Industry Agents
V7 Go offers specialized agents for finance, legal, insurance, and real estate that can be deployed immediately, while LlamaIndex requires building custom pipelines from scratch.
White-Glove Implementation
V7 Go provides dedicated solution engineers who build custom integrations and design industry-specific agents, whereas LlamaIndex relies primarily on self-service documentation and community support.
Features
Features
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What makes V7 Go the best LlamaIndex alternative
Compare document AI capabilities and enterprise readiness
Features
Features
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V7
LlamaIndex
vs.
Visual source grounding
Visual source grounding
Visual source grounding
Visual source grounding
AI citations link every output to exact source locations in documents for compliance
AI citations link every output to exact source locations in documents for compliance
V7
AI citations link every output to exact source locations in documents for compliance
AI citations link every output to exact source locations in documents for compliance
Indexing and retrieval focus without native visual source tracing for auditability
Indexing and retrieval focus without native visual source tracing for auditability
LlamaIndex
Indexing and retrieval focus without native visual source tracing for auditability
Indexing and retrieval focus without native visual source tracing for auditability
Pre-built industry agents
Specialized agents for finance, legal, insurance, and real estate ready to deploy
Specialized agents for finance, legal, insurance, and real estate ready to deploy
V7
Specialized agents for finance, legal, insurance, and real estate ready to deploy
Specialized agents for finance, legal, insurance, and real estate ready to deploy
Framework for building custom agents; requires development work for deployment
Framework for building custom agents; requires development work for deployment
LlamaIndex
Framework for building custom agents; requires development work for deployment
Framework for building custom agents; requires development work for deployment
Document parsing options
Multimodal ingestion with 95-99% accuracy on complex documents and tables
Multimodal ingestion with 95-99% accuracy on complex documents and tables
V7
Multimodal ingestion with 95-99% accuracy on complex documents and tables
Multimodal ingestion with 95-99% accuracy on complex documents and tables
LlamaParse offers multiple parsing modes from basic to agentic with granular control
LlamaParse offers multiple parsing modes from basic to agentic with granular control
LlamaIndex
LlamaParse offers multiple parsing modes from basic to agentic with granular control
LlamaParse offers multiple parsing modes from basic to agentic with granular control
Cloud storage integrations
Native integrations plus custom legacy system connections via white-glove service
Native integrations plus custom legacy system connections via white-glove service
V7
Native integrations plus custom legacy system connections via white-glove service
Native integrations plus custom legacy system connections via white-glove service
Native integrations with S3, Azure, OneDrive, SharePoint, Box, and Google Drive
Native integrations with S3, Azure, OneDrive, SharePoint, Box, and Google Drive
LlamaIndex
Native integrations with S3, Azure, OneDrive, SharePoint, Box, and Google Drive
Native integrations with S3, Azure, OneDrive, SharePoint, Box, and Google Drive
Open-source flexibility
Closed platform with managed infrastructure and dedicated support
Closed platform with managed infrastructure and dedicated support
V7
Closed platform with managed infrastructure and dedicated support
Closed platform with managed infrastructure and dedicated support
Open-source framework allows full customization and self-hosting options
Open-source framework allows full customization and self-hosting options
LlamaIndex
Open-source framework allows full customization and self-hosting options
Open-source framework allows full customization and self-hosting options
Human-in-the-loop review
Built-in review stages with configurable approval workflows and feedback loops
Built-in review stages with configurable approval workflows and feedback loops
V7
Built-in review stages with configurable approval workflows and feedback loops
Built-in review stages with configurable approval workflows and feedback loops
Must be implemented through custom application logic; not built into platform
Must be implemented through custom application logic; not built into platform
LlamaIndex
Must be implemented through custom application logic; not built into platform
Must be implemented through custom application logic; not built into platform
Pricing
Pricing
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Pricing
LlamaIndex pricing explained
Credit-based vs usage-based pricing for document AI
Features
Features
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Features
V7
V7 Go pricing is structured around a base platform fee that includes access to the V7 platform with AI agents, plus user licenses and data processing charges based on actual usage and use case requirements. The platform offers predictable pricing that scales with document volume, and premium white-glove service includes building custom integrations with legacy systems, designing industry-specific AI agents by expert solution engineers, and providing hands-on implementation support throughout deployment.
V7 Go pricing is structured around a base platform fee that includes access to the V7 platform with AI agents, plus user licenses and data processing charges based on actual usage and use case requirements. The platform offers predictable pricing that scales with document volume, and premium white-glove service includes building custom integrations with legacy systems, designing industry-specific AI agents by expert solution engineers, and providing hands-on implementation support throughout deployment.
Base platform fee plus user licenses and usage-based data processing charges
Base platform fee plus user licenses and usage-based data processing charges
Base platform fee plus user licenses and usage-based data processing charges
Base platform fee plus user licenses and usage-based data processing charges
White-glove service includes custom integrations and specialized agent development
White-glove service includes custom integrations and specialized agent development
White-glove service includes custom integrations and specialized agent development
White-glove service includes custom integrations and specialized agent development
Predictable pricing model tied to document volume processed
Predictable pricing model tied to document volume processed
Predictable pricing model tied to document volume processed
Predictable pricing model tied to document volume processed
LlamaIndex
LlamaCloud operates on a credit-based system where 1,000 credits equal $1.25. The Free tier provides 10K credits monthly for prototyping. The Starter plan costs $50 per month with 40K included credits and up to 400K pay-as-you-go credits. The Pro plan is $500 per month with 400K included credits and up to 4 million pay-as-you-go credits. Enterprise pricing is custom with unlimited users, projects, and dedicated support. Credit consumption varies by parsing complexity, from 1 credit per page for basic text to 45 credits for agentic parsing.
LlamaCloud operates on a credit-based system where 1,000 credits equal $1.25. The Free tier provides 10K credits monthly for prototyping. The Starter plan costs $50 per month with 40K included credits and up to 400K pay-as-you-go credits. The Pro plan is $500 per month with 400K included credits and up to 4 million pay-as-you-go credits. Enterprise pricing is custom with unlimited users, projects, and dedicated support. Credit consumption varies by parsing complexity, from 1 credit per page for basic text to 45 credits for agentic parsing.
Free tier with 10K credits monthly for prototyping and evaluation
Free tier with 10K credits monthly for prototyping and evaluation
Free tier with 10K credits monthly for prototyping and evaluation
Free tier with 10K credits monthly for prototyping and evaluation
Credit costs vary by parsing complexity from 1 to 45 credits per page
Credit costs vary by parsing complexity from 1 to 45 credits per page
Credit costs vary by parsing complexity from 1 to 45 credits per page
Credit costs vary by parsing complexity from 1 to 45 credits per page
Open-source framework available for self-hosting without license fees
Open-source framework available for self-hosting without license fees
Open-source framework available for self-hosting without license fees
Open-source framework available for self-hosting without license fees
Comparison
Comparison
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Comparison
Comparing V7 Go and LlamaIndex capabilities
Comparing pricing models for document AI workflows
Features
Features
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Features
V7
Enterprise document automation with specialized AI agents
V7 Go is an enterprise document automation platform that provides specialized AI agents for regulated industries including finance, legal, insurance, and real estate. The platform offers visual grounding that traces every AI output to its exact source location in documents, creating audit trails for compliance requirements. V7 Go achieves 95-99% accuracy on document processing benchmarks and supports 1M+ token context windows for analyzing large document bundles. The platform includes white-glove service with solution engineers who build custom integrations with legacy systems and design industry-specific agents, enabling organizations to deploy production workflows without extensive in-house development.
LlamaIndex
Open-source framework and SaaS for RAG applications
LlamaIndex is both an open-source framework and a commercial SaaS platform (LlamaCloud) designed for building production-ready LLM applications. The platform enables developers to create custom data connectors, indexes, and query engines for retrieval-augmented generation workflows. LlamaCloud operates on a credit-based system where 1,000 credits equal $1.25, with tiered plans ranging from a free tier with 10K credits to enterprise plans with custom pricing. The platform supports document parsing through LlamaParse with options ranging from basic text extraction to complex agentic parsing, and integrates with major cloud storage providers including S3, Azure, OneDrive, and Google Drive.
Testimonials
Testimonials
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Testimonials
Trusted by teams shipping AI to production
What customers say after choosing V7 Go
Features
Features
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Features
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.
Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.
Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.
Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.
Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.
Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.
Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.
Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.
Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.
Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.
Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.
Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.
Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.
Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.
Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.
Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.
Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.
Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.
Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.
Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.
Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.
Allen Darby
CEO of Alaris Acquisitions
Manual work eliminated
90-98%
Nobody's going to believe it, but people are always looking for the killer AI use case, right? This magic pill. And this one is one of those. V7 Go will actually allow you to just eliminate 90 to 98% of the manual work. And it's so quick to build a use case.
Paul Dickau
CEO and Founder, HITICCO
Productivity increase
35%
We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use.
Trey Heath
CEO of Centerline
Custom solution delivery
In hours, not weeks
Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business.
Allen Darby
CEO of Alaris Acquisitions
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d="M 0 0.219 L 10915 0" fill="transparent" height="1px" id="EAdcOxt57" stroke-dasharray="" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="10" stroke-width="2.658" stroke="rgb(0, 0, 0)" transform="translate(0 6106.5)" width="10915px"/></g></svg>)
Integrate with 2000+ apps and services
Connect your favorite apps:
Connect your favorite apps:
Connect your favorite apps:
Using V7 Go to automate our diligence process led to a 35% productivity increase.
Centerline
Using V7 Go to automate our diligence process led to a 35% productivity increase.
Centerline
Using V7 Go to automate our diligence process led to a 35% productivity increase.
Centerline
The experience with V7 has been fantastic. Very customized level of support.
Alaris
The experience with V7 has been fantastic. Very customized level of support.
Alaris
The experience with V7 has been fantastic. Very customized level of support.
Alaris
V7 enables us to process complex documents at scale through an intuitive and powerful UI
Pinsent Masons
V7 enables us to process complex documents at scale through an intuitive and powerful UI
Pinsent Masons
V7 enables us to process complex documents at scale through an intuitive and powerful UI
Pinsent Masons
V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .
Star Mountain
V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .
Star Mountain
V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .
Star Mountain
Using V7 Go to automate our diligence process led to a 35% productivity increase.
Centerline
The experience with V7 has been fantastic. Very customized level of support.
Alaris
V7 enables us to process complex documents at scale through an intuitive and powerful UI
Pinsent Masons
V7 Go enabled us to process financial statements 21x faster while also increasing accuracy by 54% .
Star Mountain
Learn more
Get started
Learn more
Everything you need to run AI in production
A complete platform for document intelligence and workflows
Features
Get started
Features
Your Entire Tech Stack, Perfectly Connected
1,000+ Integrations Across Your Entire Stack
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Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.
Your Entire Tech Stack, Perfectly Connected
1,000+ Integrations Across Your Entire Stack
Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.
Your Entire Tech Stack, Perfectly Connected
1,000+ Integrations Across Your Entire Stack
Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.
Your Entire Tech Stack, Perfectly Connected
1,000+ Integrations Across Your Entire Stack
Connect every tool your teams rely on — from CRM to finance to devops — all in a single platform.
The Foundation
Security You Can Trust, Compliance You Can Prove
ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.
The Foundation
Security You Can Trust, Compliance You Can Prove
ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.
The Foundation
Security You Can Trust, Compliance You Can Prove
ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.
The Foundation
Security You Can Trust, Compliance You Can Prove
ISO, HIPAA, SOC 2, GDPR and more — your data stays protected under world-class security and governance.
Unity Across Emails, Files, Documents & Data
Works With Everything You Already Use
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
Customers
Paper Docs
Conversations
Documents
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.
Unity Across Emails, Files, Documents & Data
Works With Everything You Already Use
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
Customers
Paper Docs
Conversations
Documents
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.
Unity Across Emails, Files, Documents & Data
Works With Everything You Already Use
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
Customers
Paper Docs
Conversations
Documents
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.
Unity Across Emails, Files, Documents & Data
Works With Everything You Already Use
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
Customers
Paper Docs
Conversations
Documents
Data
Calls
Files
Deals
Emails
People
Paper Docs
Customers
Documents
Conversations
Calls
Data
Deals
Files
People
Emails
V7 ingests emails, meetings, PDFs, paper scans, conversations, data sources, customer records, contracts — and makes them instantly usable.
Multi-Model Power, Zero Lock-In
Integrations That Actually Integrate
Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.
Multi-Model Power, Zero Lock-In
Integrations That Actually Integrate
Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.
Multi-Model Power, Zero Lock-In
Integrations That Actually Integrate
Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.
Multi-Model Power, Zero Lock-In
Integrations That Actually Integrate
Connect every tool your teams rely on — from CRM and finance to DevOps and data systems — all flowing through a single platform.
A New Class of AI Agents
300+ Expert-Built Agents for Real Work
Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.
A New Class of AI Agents
300+ Expert-Built Agents for Real Work
Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.
A New Class of AI Agents
300+ Expert-Built Agents for Real Work
Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.
A New Class of AI Agents
300+ Expert-Built Agents for Real Work
Designed by industry leaders and deeply connected to your business — V7 Agents execute workflows with contextual, up-to-date intelligence.
Features
Get started
Features
From First Call to Commercials in 11 Days
A Fast, Proven Path to Value
Day 1
Introductory Call
Day 2
POC Scoping
Day 3
POC Kickoff
Day 5
POC Check-in
Day 10
POC Results Review
Day 11
Commercial discussions
Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.
From First Call to Commercials in 11 Days
A Fast, Proven Path to Value
Day 1
Introductory Call
Day 2
POC Scoping
Day 3
POC Kickoff
Day 5
POC Check-in
Day 10
POC Results Review
Day 11
Commercial discussions
Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.
From First Call to Commercials in 11 Days
A Fast, Proven Path to Value
Day 1
Introductory Call
Day 2
POC Scoping
Day 3
POC Kickoff
Day 5
POC Check-in
Day 10
POC Results Review
Day 11
Commercial discussions
Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.
From First Call to Commercials in 11 Days
A Fast, Proven Path to Value
Day 1
Introductory Call
Day 2
POC Scoping
Day 3
POC Kickoff
Day 5
POC Check-in
Day 10
POC Results Review
Day 11
Commercial discussions
Intro call, POC scoping, kickoff, check-ins, results review and commercial discussion — V7 moves from first contact to measurable outcomes in just 11 days.
Configure Anything to Fit Your Workflow
Built to Adapt. Designed Without Limits.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.
Configure Anything to Fit Your Workflow
Built to Adapt. Designed Without Limits.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.
Configure Anything to Fit Your Workflow
Built to Adapt. Designed Without Limits.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.
Configure Anything to Fit Your Workflow
Built to Adapt. Designed Without Limits.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Customize every workflow, rule, interface and reasoning step. Adjust prompts, models, inputs, outputs, citations and integrations — full flexibility with zero constraints.
Index Knowledge
All Knowledge in One Place
Investment memo generation
AI contract review
Property valuation AI
Claims processing automation
Financial statement analysis
Real estate lease abstraction
Portfolio management automation
Offering memorandum analysis
Insurance claims automation
OCR + data extraction
Due diligence automation
Pitch deck analysis
Document processing AI
Investment banking analysis
Insurance underwriting automation
Data room analysis
10-Q report analysis
Financial statement analysis
Investment memo generation
AI contract review
Property valuation AI
Claims processing automation
Financial statement analysis
Real estate lease abstraction
Portfolio management automation
Offering memorandum analysis
Insurance claims automation
OCR + data extraction
Due diligence automation
Pitch deck analysis
Document processing AI
Investment banking analysis
Insurance underwriting automation
Data room analysis
10-Q report analysis
Financial statement analysis
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Index Knowledge
All Knowledge in One Place
Investment memo generation
AI contract review
Property valuation AI
Claims processing automation
Financial statement analysis
Real estate lease abstraction
Portfolio management automation
Offering memorandum analysis
Insurance claims automation
OCR + data extraction
Due diligence automation
Pitch deck analysis
Document processing AI
Investment banking analysis
Insurance underwriting automation
Data room analysis
10-Q report analysis
Financial statement analysis
Investment memo generation
AI contract review
Property valuation AI
Claims processing automation
Financial statement analysis
Real estate lease abstraction
Portfolio management automation
Offering memorandum analysis
Insurance claims automation
OCR + data extraction
Due diligence automation
Pitch deck analysis
Document processing AI
Investment banking analysis
Insurance underwriting automation
Data room analysis
10-Q report analysis
Financial statement analysis
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Index Knowledge
All Knowledge in One Place
Investment memo generation
AI contract review
Property valuation AI
Claims processing automation
Financial statement analysis
Real estate lease abstraction
Portfolio management automation
Offering memorandum analysis
Insurance claims automation
OCR + data extraction
Due diligence automation
Pitch deck analysis
Document processing AI
Investment banking analysis
Insurance underwriting automation
Data room analysis
10-Q report analysis
Financial statement analysis
Investment memo generation
AI contract review
Property valuation AI
Claims processing automation
Financial statement analysis
Real estate lease abstraction
Portfolio management automation
Offering memorandum analysis
Insurance claims automation
OCR + data extraction
Due diligence automation
Pitch deck analysis
Document processing AI
Investment banking analysis
Insurance underwriting automation
Data room analysis
10-Q report analysis
Financial statement analysis
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Index Knowledge
All Knowledge in One Place
Investment memo generation
AI contract review
Property valuation AI
Claims processing automation
Financial statement analysis
Real estate lease abstraction
Portfolio management automation
Offering memorandum analysis
Insurance claims automation
OCR + data extraction
Due diligence automation
Pitch deck analysis
Document processing AI
Investment banking analysis
Insurance underwriting automation
Data room analysis
10-Q report analysis
Financial statement analysis
Investment memo generation
AI contract review
Property valuation AI
Claims processing automation
Financial statement analysis
Real estate lease abstraction
Portfolio management automation
Offering memorandum analysis
Insurance claims automation
OCR + data extraction
Due diligence automation
Pitch deck analysis
Document processing AI
Investment banking analysis
Insurance underwriting automation
Data room analysis
10-Q report analysis
Financial statement analysis
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Performance That Leaves Everything Else Behind
Outperforms LLMs, RPAs, IDPs & Hyperscalers
Hyperscaler
70-80%
LLM's
80-95%
RPA & IDP
80-99%
V7 Go
95-99%
On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.
Performance That Leaves Everything Else Behind
Outperforms LLMs, RPAs, IDPs & Hyperscalers
Hyperscaler
70-80%
LLM's
80-95%
RPA & IDP
80-99%
V7 Go
95-99%
On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.
Performance That Leaves Everything Else Behind
Outperforms LLMs, RPAs, IDPs & Hyperscalers
Hyperscaler
70-80%
LLM's
80-95%
RPA & IDP
80-99%
V7 Go
95-99%
On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.
Performance That Leaves Everything Else Behind
Outperforms LLMs, RPAs, IDPs & Hyperscalers
Hyperscaler
70-80%
LLM's
80-95%
RPA & IDP
80-99%
V7 Go
95-99%
On one-shot benchmarks, V7 Go reaches 95–99% accuracy, surpassing leading LLMs, RPA/IDP tools and hyperscalers across real enterprise workloads.
Your Company’s Brain, Finally Organized
All Knowledge in One Place
Index Knowledge
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Your Company’s Brain, Finally Organized
All Knowledge in One Place
Index Knowledge
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Your Company’s Brain, Finally Organized
All Knowledge in One Place
Index Knowledge
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
Your Company’s Brain, Finally Organized
All Knowledge in One Place
Index Knowledge
Product specs, sales playbooks, compliance policies, brand guides, policies, scripts, competitor briefs — neatly organized in searchable, permissioned Knowledge Hubs.
FAQs
FAQs
FAQs
FAQs
Have questions?
Find answers.
Have questions?
Find answers.
Have questions?
Find answers.
How does V7 Go's approach to document AI differ from LlamaIndex's RAG framework?
LlamaIndex provides a flexible framework for developers to build custom retrieval-augmented generation applications, offering granular control over parsing, indexing, and query pipelines. V7 Go takes a different approach by providing pre-built specialized AI agents designed for specific industries and use cases, enabling organizations to deploy production workflows without extensive development work. While LlamaIndex excels at enabling technical teams to create custom RAG solutions, V7 Go focuses on delivering ready-to-use document automation with visual grounding that traces every output to its source for compliance requirements.
+
What level of technical expertise is required for each platform?
LlamaIndex is designed for developers and technical teams who want to build custom LLM applications, requiring familiarity with Python, APIs, and RAG architecture concepts. The open-source framework offers maximum flexibility but demands significant development investment. V7 Go is designed for business users and domain experts in regulated industries, providing a low-code interface where agents can be configured without programming. V7 Go's white-glove service means solution engineers handle complex integrations and custom agent development, reducing the technical burden on your team.
+
Can LlamaIndex provide the same visual grounding and auditability as V7 Go?
LlamaIndex focuses on indexing and retrieval, providing source references in query responses but without native visual grounding that maps outputs to exact locations within source documents. V7 Go's visual grounding traces every AI-generated output back to its precise location in the source document, creating interactive citations and audit trails required for compliance with SOX, HIPAA, FDA, and KYC/AML regulations. For regulated industries where proving data provenance is essential, V7 Go provides built-in auditability that would require custom development to replicate using LlamaIndex.
+
How do the document parsing capabilities compare between the platforms?
LlamaIndex offers LlamaParse with multiple parsing modes ranging from basic text extraction at 1 credit per page to complex agentic parsing at up to 45 credits per page, giving developers granular control over accuracy and cost tradeoffs. V7 Go provides multimodal document processing with 95-99% accuracy on complex documents including tables, handwriting, and mixed formats, with 1M+ token context windows for large document bundles. Both platforms handle diverse document types, with LlamaIndex offering more parsing configuration options and V7 Go providing higher accuracy guarantees for enterprise workflows.
+
Which platform is better for organizations in regulated industries?
V7 Go is purpose-built for regulated industries including finance, legal, insurance, and real estate, with visual grounding for audit trails, human-in-the-loop review stages, and accuracy guarantees. LlamaIndex provides enterprise security certifications including SOC 2 Type II, GDPR, and HIPAA compliance with VPC deployment options, but compliance-specific features like visual source tracing and built-in approval workflows must be implemented through custom development. Organizations requiring provable accuracy and audit trails for regulatory compliance may find V7 Go's built-in features more suitable.
+
What are the key differences in implementation and support between the platforms?
LlamaIndex provides extensive documentation, an active open-source community, and enterprise support for paying customers, with implementation largely self-directed through the framework's APIs and tutorials. V7 Go offers premium white-glove service with dedicated solution engineers who build custom integrations with legacy systems, design industry-specific AI agents, and provide hands-on implementation support throughout deployment. LlamaIndex is ideal for technical teams who want full control over their RAG architecture, while V7 Go suits organizations that prefer managed implementation with expert guidance.
+
How does V7 Go's approach to document AI differ from LlamaIndex's RAG framework?
LlamaIndex provides a flexible framework for developers to build custom retrieval-augmented generation applications, offering granular control over parsing, indexing, and query pipelines. V7 Go takes a different approach by providing pre-built specialized AI agents designed for specific industries and use cases, enabling organizations to deploy production workflows without extensive development work. While LlamaIndex excels at enabling technical teams to create custom RAG solutions, V7 Go focuses on delivering ready-to-use document automation with visual grounding that traces every output to its source for compliance requirements.
+
What level of technical expertise is required for each platform?
LlamaIndex is designed for developers and technical teams who want to build custom LLM applications, requiring familiarity with Python, APIs, and RAG architecture concepts. The open-source framework offers maximum flexibility but demands significant development investment. V7 Go is designed for business users and domain experts in regulated industries, providing a low-code interface where agents can be configured without programming. V7 Go's white-glove service means solution engineers handle complex integrations and custom agent development, reducing the technical burden on your team.
+
Can LlamaIndex provide the same visual grounding and auditability as V7 Go?
LlamaIndex focuses on indexing and retrieval, providing source references in query responses but without native visual grounding that maps outputs to exact locations within source documents. V7 Go's visual grounding traces every AI-generated output back to its precise location in the source document, creating interactive citations and audit trails required for compliance with SOX, HIPAA, FDA, and KYC/AML regulations. For regulated industries where proving data provenance is essential, V7 Go provides built-in auditability that would require custom development to replicate using LlamaIndex.
+
How do the document parsing capabilities compare between the platforms?
LlamaIndex offers LlamaParse with multiple parsing modes ranging from basic text extraction at 1 credit per page to complex agentic parsing at up to 45 credits per page, giving developers granular control over accuracy and cost tradeoffs. V7 Go provides multimodal document processing with 95-99% accuracy on complex documents including tables, handwriting, and mixed formats, with 1M+ token context windows for large document bundles. Both platforms handle diverse document types, with LlamaIndex offering more parsing configuration options and V7 Go providing higher accuracy guarantees for enterprise workflows.
+
Which platform is better for organizations in regulated industries?
V7 Go is purpose-built for regulated industries including finance, legal, insurance, and real estate, with visual grounding for audit trails, human-in-the-loop review stages, and accuracy guarantees. LlamaIndex provides enterprise security certifications including SOC 2 Type II, GDPR, and HIPAA compliance with VPC deployment options, but compliance-specific features like visual source tracing and built-in approval workflows must be implemented through custom development. Organizations requiring provable accuracy and audit trails for regulatory compliance may find V7 Go's built-in features more suitable.
+
What are the key differences in implementation and support between the platforms?
LlamaIndex provides extensive documentation, an active open-source community, and enterprise support for paying customers, with implementation largely self-directed through the framework's APIs and tutorials. V7 Go offers premium white-glove service with dedicated solution engineers who build custom integrations with legacy systems, design industry-specific AI agents, and provide hands-on implementation support throughout deployment. LlamaIndex is ideal for technical teams who want full control over their RAG architecture, while V7 Go suits organizations that prefer managed implementation with expert guidance.
+
How does V7 Go's approach to document AI differ from LlamaIndex's RAG framework?
LlamaIndex provides a flexible framework for developers to build custom retrieval-augmented generation applications, offering granular control over parsing, indexing, and query pipelines. V7 Go takes a different approach by providing pre-built specialized AI agents designed for specific industries and use cases, enabling organizations to deploy production workflows without extensive development work. While LlamaIndex excels at enabling technical teams to create custom RAG solutions, V7 Go focuses on delivering ready-to-use document automation with visual grounding that traces every output to its source for compliance requirements.
+
What level of technical expertise is required for each platform?
LlamaIndex is designed for developers and technical teams who want to build custom LLM applications, requiring familiarity with Python, APIs, and RAG architecture concepts. The open-source framework offers maximum flexibility but demands significant development investment. V7 Go is designed for business users and domain experts in regulated industries, providing a low-code interface where agents can be configured without programming. V7 Go's white-glove service means solution engineers handle complex integrations and custom agent development, reducing the technical burden on your team.
+
Can LlamaIndex provide the same visual grounding and auditability as V7 Go?
LlamaIndex focuses on indexing and retrieval, providing source references in query responses but without native visual grounding that maps outputs to exact locations within source documents. V7 Go's visual grounding traces every AI-generated output back to its precise location in the source document, creating interactive citations and audit trails required for compliance with SOX, HIPAA, FDA, and KYC/AML regulations. For regulated industries where proving data provenance is essential, V7 Go provides built-in auditability that would require custom development to replicate using LlamaIndex.
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How do the document parsing capabilities compare between the platforms?
LlamaIndex offers LlamaParse with multiple parsing modes ranging from basic text extraction at 1 credit per page to complex agentic parsing at up to 45 credits per page, giving developers granular control over accuracy and cost tradeoffs. V7 Go provides multimodal document processing with 95-99% accuracy on complex documents including tables, handwriting, and mixed formats, with 1M+ token context windows for large document bundles. Both platforms handle diverse document types, with LlamaIndex offering more parsing configuration options and V7 Go providing higher accuracy guarantees for enterprise workflows.
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Which platform is better for organizations in regulated industries?
V7 Go is purpose-built for regulated industries including finance, legal, insurance, and real estate, with visual grounding for audit trails, human-in-the-loop review stages, and accuracy guarantees. LlamaIndex provides enterprise security certifications including SOC 2 Type II, GDPR, and HIPAA compliance with VPC deployment options, but compliance-specific features like visual source tracing and built-in approval workflows must be implemented through custom development. Organizations requiring provable accuracy and audit trails for regulatory compliance may find V7 Go's built-in features more suitable.
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What are the key differences in implementation and support between the platforms?
LlamaIndex provides extensive documentation, an active open-source community, and enterprise support for paying customers, with implementation largely self-directed through the framework's APIs and tutorials. V7 Go offers premium white-glove service with dedicated solution engineers who build custom integrations with legacy systems, design industry-specific AI agents, and provide hands-on implementation support throughout deployment. LlamaIndex is ideal for technical teams who want full control over their RAG architecture, while V7 Go suits organizations that prefer managed implementation with expert guidance.
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How does V7 Go's approach to document AI differ from LlamaIndex's RAG framework?
LlamaIndex provides a flexible framework for developers to build custom retrieval-augmented generation applications, offering granular control over parsing, indexing, and query pipelines. V7 Go takes a different approach by providing pre-built specialized AI agents designed for specific industries and use cases, enabling organizations to deploy production workflows without extensive development work. While LlamaIndex excels at enabling technical teams to create custom RAG solutions, V7 Go focuses on delivering ready-to-use document automation with visual grounding that traces every output to its source for compliance requirements.
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What level of technical expertise is required for each platform?
LlamaIndex is designed for developers and technical teams who want to build custom LLM applications, requiring familiarity with Python, APIs, and RAG architecture concepts. The open-source framework offers maximum flexibility but demands significant development investment. V7 Go is designed for business users and domain experts in regulated industries, providing a low-code interface where agents can be configured without programming. V7 Go's white-glove service means solution engineers handle complex integrations and custom agent development, reducing the technical burden on your team.
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Can LlamaIndex provide the same visual grounding and auditability as V7 Go?
LlamaIndex focuses on indexing and retrieval, providing source references in query responses but without native visual grounding that maps outputs to exact locations within source documents. V7 Go's visual grounding traces every AI-generated output back to its precise location in the source document, creating interactive citations and audit trails required for compliance with SOX, HIPAA, FDA, and KYC/AML regulations. For regulated industries where proving data provenance is essential, V7 Go provides built-in auditability that would require custom development to replicate using LlamaIndex.
+
How do the document parsing capabilities compare between the platforms?
LlamaIndex offers LlamaParse with multiple parsing modes ranging from basic text extraction at 1 credit per page to complex agentic parsing at up to 45 credits per page, giving developers granular control over accuracy and cost tradeoffs. V7 Go provides multimodal document processing with 95-99% accuracy on complex documents including tables, handwriting, and mixed formats, with 1M+ token context windows for large document bundles. Both platforms handle diverse document types, with LlamaIndex offering more parsing configuration options and V7 Go providing higher accuracy guarantees for enterprise workflows.
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Which platform is better for organizations in regulated industries?
V7 Go is purpose-built for regulated industries including finance, legal, insurance, and real estate, with visual grounding for audit trails, human-in-the-loop review stages, and accuracy guarantees. LlamaIndex provides enterprise security certifications including SOC 2 Type II, GDPR, and HIPAA compliance with VPC deployment options, but compliance-specific features like visual source tracing and built-in approval workflows must be implemented through custom development. Organizations requiring provable accuracy and audit trails for regulatory compliance may find V7 Go's built-in features more suitable.
+
What are the key differences in implementation and support between the platforms?
LlamaIndex provides extensive documentation, an active open-source community, and enterprise support for paying customers, with implementation largely self-directed through the framework's APIs and tutorials. V7 Go offers premium white-glove service with dedicated solution engineers who build custom integrations with legacy systems, design industry-specific AI agents, and provide hands-on implementation support throughout deployment. LlamaIndex is ideal for technical teams who want full control over their RAG architecture, while V7 Go suits organizations that prefer managed implementation with expert guidance.
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Don't wait too long
Don't wait too long
Don't wait too long
Don't wait too long
Move beyond prototypes.
Move beyond prototypes.
Build AI workflows that scale.
Build AI workflows that scale.
With V7, not workarounds.
With V7, not workarounds.
Welcome Go
Welcome Go
Welcome Go
It's time
See how V7 fits your documents, workflows, and compliance needs.