Compare

Compare

V7 vs. LangChain

V7 vs. LangChain

V7 vs. LangChain

Searching for a good LangChain alternative?

Searching for a good LangChain alternative?

Searching for a good LangChain alternative?

Evaluating LangChain as an LLM workflow framework

Evaluating LangChain as an LLM workflow framework

V7

vs.

V7

vs.

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Why choose V7 over LangChain?

Both platforms enable AI agent workflows. LangChain offers developer flexibility, while V7 Go provides pre-built agents with visual grounding for enterprises.

Overview

Overview

Visual Grounding & AI Citations

V7 Go traces every AI output to its exact source location in documents, providing built-in auditability for compliance requirements that LangChain leaves to custom implementation.

Pre-Built Industry Agents

V7 Go offers 300+ specialized agents for finance, legal, insurance, and real estate that deploy immediately, while LangChain requires building agent logic from scratch.

White-Glove Enterprise Service

V7 Go provides dedicated solution engineers who build custom integrations and design industry-specific agents, whereas LangChain relies primarily on self-service documentation and community support.

Features

Features

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What makes V7 Go the best LangChain alternative

Compare developer framework vs enterprise-ready platform capabilities

Features

Features

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V7

LangChain

vs.

Visual source grounding

Visual source grounding

Visual source grounding

Visual source grounding

AI Citations trace every output to exact source locations in documents for compliance

AI Citations trace every output to exact source locations in documents for compliance

V7

AI Citations trace every output to exact source locations in documents for compliance

AI Citations trace every output to exact source locations in documents for compliance

No native source tracing; requires custom implementation for document provenance

No native source tracing; requires custom implementation for document provenance

LangChain

No native source tracing; requires custom implementation for document provenance

No native source tracing; requires custom implementation for document provenance

Pre-built industry agents

300+ specialized agents for finance, legal, insurance, and real estate ready to deploy

300+ specialized agents for finance, legal, insurance, and real estate ready to deploy

V7

300+ specialized agents for finance, legal, insurance, and real estate ready to deploy

300+ specialized agents for finance, legal, insurance, and real estate ready to deploy

Requires building custom agents from scratch using modular components

Requires building custom agents from scratch using modular components

LangChain

Requires building custom agents from scratch using modular components

Requires building custom agents from scratch using modular components

LLM provider flexibility

Supports GPT-4, Claude, and Gemini in composable pipelines

Supports GPT-4, Claude, and Gemini in composable pipelines

V7

Supports GPT-4, Claude, and Gemini in composable pipelines

Supports GPT-4, Claude, and Gemini in composable pipelines

Extensive support for 100+ LLM providers, databases, and APIs

Extensive support for 100+ LLM providers, databases, and APIs

LangChain

Extensive support for 100+ LLM providers, databases, and APIs

Extensive support for 100+ LLM providers, databases, and APIs

Observability & tracing

Built-in workflow monitoring with visual grounding for audit trails

Built-in workflow monitoring with visual grounding for audit trails

V7

Built-in workflow monitoring with visual grounding for audit trails

Built-in workflow monitoring with visual grounding for audit trails

LangSmith provides tracing, monitoring, and evaluation with tiered pricing

LangSmith provides tracing, monitoring, and evaluation with tiered pricing

LangChain

LangSmith provides tracing, monitoring, and evaluation with tiered pricing

LangSmith provides tracing, monitoring, and evaluation with tiered pricing

Human-in-the-loop review

Configurable review stages with approval workflows and feedback loops

Configurable review stages with approval workflows and feedback loops

V7

Configurable review stages with approval workflows and feedback loops

Configurable review stages with approval workflows and feedback loops

Annotation queues available but require custom workflow implementation

Annotation queues available but require custom workflow implementation

LangChain

Annotation queues available but require custom workflow implementation

Annotation queues available but require custom workflow implementation

Integration ecosystem

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

100+ integrations with extensive community-contributed connectors

100+ integrations with extensive community-contributed connectors

LangChain

100+ integrations with extensive community-contributed connectors

100+ integrations with extensive community-contributed connectors

Pricing

Pricing

Get started

Pricing

LangChain pricing explained

Understanding trace-based vs usage-based pricing models

Features

Features

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Features

V7

V7 Go pricing is fully custom and tailored to enterprise engagements, 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. 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 with free proof-of-concept pilots.

V7 Go pricing is fully custom and tailored to enterprise engagements, 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. 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 with free proof-of-concept pilots.

Custom enterprise pricing with base platform fee, user licenses, and usage-based charges

Custom enterprise pricing with base platform fee, user licenses, and usage-based charges

Custom enterprise pricing with base platform fee, user licenses, and usage-based charges

Custom enterprise pricing with base platform fee, user licenses, and usage-based charges

Free proof of concept with sample documents before commitment

Free proof of concept with sample documents before commitment

Free proof of concept with sample documents before commitment

Free proof of concept with sample documents before commitment

White-glove service includes dedicated solution engineers and custom integrations

White-glove service includes dedicated solution engineers and custom integrations

White-glove service includes dedicated solution engineers and custom integrations

White-glove service includes dedicated solution engineers and custom integrations

LangChain

LangChain offers tiered pricing through LangSmith. The free Developer plan includes 1 seat and 5,000 base traces per month. The Plus plan costs $39 per seat monthly with 10,000 traces and one free dev deployment. Enterprise pricing is custom with annual invoicing. Additional costs include $2.50 per 1,000 base traces beyond allotment, $0.005 per deployment run, and uptime charges for production deployments. A Startup Plan with discounts is available for early-stage companies.

LangChain offers tiered pricing through LangSmith. The free Developer plan includes 1 seat and 5,000 base traces per month. The Plus plan costs $39 per seat monthly with 10,000 traces and one free dev deployment. Enterprise pricing is custom with annual invoicing. Additional costs include $2.50 per 1,000 base traces beyond allotment, $0.005 per deployment run, and uptime charges for production deployments. A Startup Plan with discounts is available for early-stage companies.

Free Developer tier with 5,000 traces per month for individual projects

Free Developer tier with 5,000 traces per month for individual projects

Free Developer tier with 5,000 traces per month for individual projects

Free Developer tier with 5,000 traces per month for individual projects

Plus plan at $39 per seat monthly with 10,000 traces and deployment access

Plus plan at $39 per seat monthly with 10,000 traces and deployment access

Plus plan at $39 per seat monthly with 10,000 traces and deployment access

Plus plan at $39 per seat monthly with 10,000 traces and deployment access

Usage-based costs for traces, deployment runs, and production uptime

Usage-based costs for traces, deployment runs, and production uptime

Usage-based costs for traces, deployment runs, and production uptime

Usage-based costs for traces, deployment runs, and production uptime

Comparison

Comparison

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Comparison

Comparing V7 Go and LangChain capabilities

Comparing pricing models for AI workflow automation

Features

Features

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Features

V7

Enterprise-ready AI automation with pre-built specialized agents

V7 Go is an enterprise-ready AI automation platform that provides over 300 pre-built specialized AI agents for document-intensive workflows in regulated industries. The platform offers visual grounding that traces every AI output to its exact source location in documents, creating audit trails required for SOX, HIPAA, FDA, and KYC/AML compliance. V7 Go achieves 95-99% accuracy on document processing benchmarks and supports 1M+ token context windows for large document bundles. The platform includes white-glove service with solution engineers who build custom integrations with legacy systems and design industry-specific agents tailored to each organization.

LangChain

Open-source framework for building LLM applications

LangChain is an open-source framework that has become the de facto standard for developers building LLM-powered applications. The platform provides modular components for constructing AI chains, agents, and retrieval-augmented generation workflows, with support for 100+ integrations across major language models, databases, and APIs. LangChain's LangSmith observability platform offers tracing, monitoring, and evaluation capabilities with tiered pricing from a free Developer plan to custom Enterprise options. The framework is particularly popular among developers and researchers for rapid prototyping, though production deployments require additional infrastructure and compliance work.

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

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

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Learn more

Everything you need to run AI in production

A complete platform for document intelligence and workflows

Features

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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

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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

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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

Logo
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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.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

The V7 Product Suite

One Unified Workspace. Endless AI Capabilities.

AI Tables, AI Docs, automated document generation, Knowledge Hubs and powerful integrations — all working together like an AI-native Microsoft Office.

FAQs

FAQs

FAQs

FAQs

Have questions?
Find answers.

Have questions?
Find answers.

Have questions?
Find answers.

How does V7 Go's approach to AI agents differ from LangChain's framework?

LangChain provides an open-source framework where developers build custom AI agents using modular components like chains, memory, and tools. This approach offers maximum flexibility but requires significant development effort and technical expertise. V7 Go takes a different approach by providing over 300 pre-built specialized AI agents designed for specific roles in finance, legal, insurance, and real estate. These agents can be deployed immediately and customized through a visual interface, making them accessible to business users without deep technical knowledge.

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What level of technical expertise is required for each platform?

LangChain is designed for developers comfortable with Python, APIs, and LLM concepts. Building production-ready agents requires understanding of chains, prompts, memory management, and error handling. 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 while ensuring industry-specific requirements are properly implemented.

+

Can LangChain provide the same visual grounding and auditability as V7 Go?

LangChain does not offer native visual grounding capabilities. While LangSmith provides tracing and observability for debugging workflows, it does not automatically link AI outputs to their source locations in documents. V7 Go's visual grounding traces every AI-generated output back to its exact location in the source document, creating 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 extensive custom development to replicate in LangChain.

+

How do the integration capabilities compare between V7 Go and LangChain?

LangChain offers extensive integration flexibility with 100+ connectors to LLM providers, vector databases, and external APIs, making it highly adaptable for developers building custom solutions. V7 Go provides native integrations with business systems plus custom legacy system connections built by solution engineers as part of the white-glove service. Both platforms support multiple LLM providers including GPT-4, Claude, and Gemini. The key difference is that LangChain requires development work for each integration, while V7 Go's service team handles custom integration work for enterprise clients.

+

Which platform is better for document-intensive workflows in regulated industries?

V7 Go is purpose-built for document-intensive workflows in finance, legal, insurance, and real estate, achieving 95-99% accuracy with visual grounding for compliance. The platform handles complex document types including financial statements, contracts, and claims files with specialized extraction models and 1M+ token context windows. LangChain can process documents through custom implementations but lacks native document AI capabilities, accuracy guarantees, and built-in audit trails. Organizations in regulated industries requiring provable accuracy and compliance typically benefit from purpose-built document AI rather than general-purpose frameworks.

+

What support and implementation services does each platform offer?

LangChain provides community forums, documentation, and enterprise support for paying customers including team trainings and architectural guidance. Implementation is largely self-directed, with developers responsible for building and maintaining their own solutions. 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. This approach ensures domain expertise is embedded in your agents and reduces time-to-value, particularly for organizations that need extensive customization or lack internal technical resources.

+

How does V7 Go's approach to AI agents differ from LangChain's framework?

LangChain provides an open-source framework where developers build custom AI agents using modular components like chains, memory, and tools. This approach offers maximum flexibility but requires significant development effort and technical expertise. V7 Go takes a different approach by providing over 300 pre-built specialized AI agents designed for specific roles in finance, legal, insurance, and real estate. These agents can be deployed immediately and customized through a visual interface, making them accessible to business users without deep technical knowledge.

+

What level of technical expertise is required for each platform?

LangChain is designed for developers comfortable with Python, APIs, and LLM concepts. Building production-ready agents requires understanding of chains, prompts, memory management, and error handling. 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 while ensuring industry-specific requirements are properly implemented.

+

Can LangChain provide the same visual grounding and auditability as V7 Go?

LangChain does not offer native visual grounding capabilities. While LangSmith provides tracing and observability for debugging workflows, it does not automatically link AI outputs to their source locations in documents. V7 Go's visual grounding traces every AI-generated output back to its exact location in the source document, creating 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 extensive custom development to replicate in LangChain.

+

How do the integration capabilities compare between V7 Go and LangChain?

LangChain offers extensive integration flexibility with 100+ connectors to LLM providers, vector databases, and external APIs, making it highly adaptable for developers building custom solutions. V7 Go provides native integrations with business systems plus custom legacy system connections built by solution engineers as part of the white-glove service. Both platforms support multiple LLM providers including GPT-4, Claude, and Gemini. The key difference is that LangChain requires development work for each integration, while V7 Go's service team handles custom integration work for enterprise clients.

+

Which platform is better for document-intensive workflows in regulated industries?

V7 Go is purpose-built for document-intensive workflows in finance, legal, insurance, and real estate, achieving 95-99% accuracy with visual grounding for compliance. The platform handles complex document types including financial statements, contracts, and claims files with specialized extraction models and 1M+ token context windows. LangChain can process documents through custom implementations but lacks native document AI capabilities, accuracy guarantees, and built-in audit trails. Organizations in regulated industries requiring provable accuracy and compliance typically benefit from purpose-built document AI rather than general-purpose frameworks.

+

What support and implementation services does each platform offer?

LangChain provides community forums, documentation, and enterprise support for paying customers including team trainings and architectural guidance. Implementation is largely self-directed, with developers responsible for building and maintaining their own solutions. 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. This approach ensures domain expertise is embedded in your agents and reduces time-to-value, particularly for organizations that need extensive customization or lack internal technical resources.

+

How does V7 Go's approach to AI agents differ from LangChain's framework?

LangChain provides an open-source framework where developers build custom AI agents using modular components like chains, memory, and tools. This approach offers maximum flexibility but requires significant development effort and technical expertise. V7 Go takes a different approach by providing over 300 pre-built specialized AI agents designed for specific roles in finance, legal, insurance, and real estate. These agents can be deployed immediately and customized through a visual interface, making them accessible to business users without deep technical knowledge.

+

What level of technical expertise is required for each platform?

LangChain is designed for developers comfortable with Python, APIs, and LLM concepts. Building production-ready agents requires understanding of chains, prompts, memory management, and error handling. 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 while ensuring industry-specific requirements are properly implemented.

+

Can LangChain provide the same visual grounding and auditability as V7 Go?

LangChain does not offer native visual grounding capabilities. While LangSmith provides tracing and observability for debugging workflows, it does not automatically link AI outputs to their source locations in documents. V7 Go's visual grounding traces every AI-generated output back to its exact location in the source document, creating 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 extensive custom development to replicate in LangChain.

+

How do the integration capabilities compare between V7 Go and LangChain?

LangChain offers extensive integration flexibility with 100+ connectors to LLM providers, vector databases, and external APIs, making it highly adaptable for developers building custom solutions. V7 Go provides native integrations with business systems plus custom legacy system connections built by solution engineers as part of the white-glove service. Both platforms support multiple LLM providers including GPT-4, Claude, and Gemini. The key difference is that LangChain requires development work for each integration, while V7 Go's service team handles custom integration work for enterprise clients.

+

Which platform is better for document-intensive workflows in regulated industries?

V7 Go is purpose-built for document-intensive workflows in finance, legal, insurance, and real estate, achieving 95-99% accuracy with visual grounding for compliance. The platform handles complex document types including financial statements, contracts, and claims files with specialized extraction models and 1M+ token context windows. LangChain can process documents through custom implementations but lacks native document AI capabilities, accuracy guarantees, and built-in audit trails. Organizations in regulated industries requiring provable accuracy and compliance typically benefit from purpose-built document AI rather than general-purpose frameworks.

+

What support and implementation services does each platform offer?

LangChain provides community forums, documentation, and enterprise support for paying customers including team trainings and architectural guidance. Implementation is largely self-directed, with developers responsible for building and maintaining their own solutions. 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. This approach ensures domain expertise is embedded in your agents and reduces time-to-value, particularly for organizations that need extensive customization or lack internal technical resources.

+

How does V7 Go's approach to AI agents differ from LangChain's framework?

LangChain provides an open-source framework where developers build custom AI agents using modular components like chains, memory, and tools. This approach offers maximum flexibility but requires significant development effort and technical expertise. V7 Go takes a different approach by providing over 300 pre-built specialized AI agents designed for specific roles in finance, legal, insurance, and real estate. These agents can be deployed immediately and customized through a visual interface, making them accessible to business users without deep technical knowledge.

+

What level of technical expertise is required for each platform?

LangChain is designed for developers comfortable with Python, APIs, and LLM concepts. Building production-ready agents requires understanding of chains, prompts, memory management, and error handling. 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 while ensuring industry-specific requirements are properly implemented.

+

Can LangChain provide the same visual grounding and auditability as V7 Go?

LangChain does not offer native visual grounding capabilities. While LangSmith provides tracing and observability for debugging workflows, it does not automatically link AI outputs to their source locations in documents. V7 Go's visual grounding traces every AI-generated output back to its exact location in the source document, creating 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 extensive custom development to replicate in LangChain.

+

How do the integration capabilities compare between V7 Go and LangChain?

LangChain offers extensive integration flexibility with 100+ connectors to LLM providers, vector databases, and external APIs, making it highly adaptable for developers building custom solutions. V7 Go provides native integrations with business systems plus custom legacy system connections built by solution engineers as part of the white-glove service. Both platforms support multiple LLM providers including GPT-4, Claude, and Gemini. The key difference is that LangChain requires development work for each integration, while V7 Go's service team handles custom integration work for enterprise clients.

+

Which platform is better for document-intensive workflows in regulated industries?

V7 Go is purpose-built for document-intensive workflows in finance, legal, insurance, and real estate, achieving 95-99% accuracy with visual grounding for compliance. The platform handles complex document types including financial statements, contracts, and claims files with specialized extraction models and 1M+ token context windows. LangChain can process documents through custom implementations but lacks native document AI capabilities, accuracy guarantees, and built-in audit trails. Organizations in regulated industries requiring provable accuracy and compliance typically benefit from purpose-built document AI rather than general-purpose frameworks.

+

What support and implementation services does each platform offer?

LangChain provides community forums, documentation, and enterprise support for paying customers including team trainings and architectural guidance. Implementation is largely self-directed, with developers responsible for building and maintaining their own solutions. 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. This approach ensures domain expertise is embedded in your agents and reduces time-to-value, particularly for organizations that need extensive customization or lack internal technical resources.

+

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.