Answers in seconds, not hours
Advanced RAG Agent
AI that knows your business
Stop asking AI generic questions and getting generic answers. This agent connects to your internal knowledge sources—documents, databases, policies, historical decisions—and uses advanced retrieval techniques to find the exact context needed. Then it reasons over that context to deliver answers that are both intelligent and grounded in your firm's reality.

Ideal for
Research Teams
Knowledge Workers
Analysts

See Advanced RAG Agent in action
Play video

See Advanced RAG Agent in action
Play video

See Advanced RAG Agent in action
Play video

Knowledge Query
See Advanced RAG Agent in action
Play video
Time comparison
Time comparison
Traditional way
2-3 hours
With V7 Go agents
30-60 seconds
Average time saved
95%
Why V7 Go
Why V7 Go
Multi-Source Knowledge Integration
Connect documents, databases, SharePoint folders, and internal wikis into a unified knowledge layer. The agent searches across all sources simultaneously to find relevant context.
Multi-Source Knowledge Integration
Connect documents, databases, SharePoint folders, and internal wikis into a unified knowledge layer. The agent searches across all sources simultaneously to find relevant context.
Multi-Source Knowledge Integration
Connect documents, databases, SharePoint folders, and internal wikis into a unified knowledge layer. The agent searches across all sources simultaneously to find relevant context.
Multi-Source Knowledge Integration
Connect documents, databases, SharePoint folders, and internal wikis into a unified knowledge layer. The agent searches across all sources simultaneously to find relevant context.
Advanced Retrieval Techniques
Goes beyond keyword matching. Uses semantic understanding, entity recognition, and structural awareness to find deeply embedded information in long documents and complex databases.
Advanced Retrieval Techniques
Goes beyond keyword matching. Uses semantic understanding, entity recognition, and structural awareness to find deeply embedded information in long documents and complex databases.
Advanced Retrieval Techniques
Goes beyond keyword matching. Uses semantic understanding, entity recognition, and structural awareness to find deeply embedded information in long documents and complex databases.
Advanced Retrieval Techniques
Goes beyond keyword matching. Uses semantic understanding, entity recognition, and structural awareness to find deeply embedded information in long documents and complex databases.
Reasoning Over Context
Doesn't just return raw documents. Synthesizes retrieved information, compares across sources, and reasons through contradictions to deliver coherent, actionable answers.
Reasoning Over Context
Doesn't just return raw documents. Synthesizes retrieved information, compares across sources, and reasons through contradictions to deliver coherent, actionable answers.
Reasoning Over Context
Doesn't just return raw documents. Synthesizes retrieved information, compares across sources, and reasons through contradictions to deliver coherent, actionable answers.
Reasoning Over Context
Doesn't just return raw documents. Synthesizes retrieved information, compares across sources, and reasons through contradictions to deliver coherent, actionable answers.
Verifiable Sources
Every answer is linked back to its source documents with precise citations. Users can instantly verify claims and trace reasoning back to original data.
Verifiable Sources
Every answer is linked back to its source documents with precise citations. Users can instantly verify claims and trace reasoning back to original data.
Verifiable Sources
Every answer is linked back to its source documents with precise citations. Users can instantly verify claims and trace reasoning back to original data.
Verifiable Sources
Every answer is linked back to its source documents with precise citations. Users can instantly verify claims and trace reasoning back to original data.
Handles Ambiguity
When sources conflict or information is incomplete, the agent acknowledges uncertainty and explains what's missing. No hallucinations, no false confidence.
Handles Ambiguity
When sources conflict or information is incomplete, the agent acknowledges uncertainty and explains what's missing. No hallucinations, no false confidence.
Handles Ambiguity
When sources conflict or information is incomplete, the agent acknowledges uncertainty and explains what's missing. No hallucinations, no false confidence.
Handles Ambiguity
When sources conflict or information is incomplete, the agent acknowledges uncertainty and explains what's missing. No hallucinations, no false confidence.
Continuous Learning
As you add new documents and update knowledge sources, the agent automatically incorporates them. Your AI assistant stays current without retraining.
Continuous Learning
As you add new documents and update knowledge sources, the agent automatically incorporates them. Your AI assistant stays current without retraining.
Continuous Learning
As you add new documents and update knowledge sources, the agent automatically incorporates them. Your AI assistant stays current without retraining.
Continuous Learning
As you add new documents and update knowledge sources, the agent automatically incorporates them. Your AI assistant stays current without retraining.
Searches across all your knowledge sources
To answer questions with precision and context.
Get started
Get started
Import your files
Microsoft Sharepoint Online
,
Notion
,
Google Drive
Import your files from whereever they are currently stored
All types of Business documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your knowledge.
Connect AI to your knowledge.
Get answers your team can trust.
Get answers your team can trust.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Customer Voices
Industrial equipment sales
Read the full story
Industrial equipment sales
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Industrial equipment sales
Read the full story
Insurance
We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.
Read the full story
Real Estate
Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.
Read the full story
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
Read the full story
Features
Features
Results you can actually trust.
Reliable AI document processing toolkit.
Results you can trust.
Trustworthy AI document processing toolkit.
Connects to any knowledge source.
Structured or unstructured.
Your knowledge lives in different places. SharePoint folders, Notion databases, Google Drive, internal wikis, structured databases. The agent retrieves from all of them simultaneously, treating them as a unified knowledge layer.
Input types
Cloud Storage
Databases
Wikis
APIs
Document types
PDFs
Databases
Web Content
Spreadsheets
Text Files
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Connects to any knowledge source.
Structured or unstructured.
Your knowledge lives in different places. SharePoint folders, Notion databases, Google Drive, internal wikis, structured databases. The agent retrieves from all of them simultaneously, treating them as a unified knowledge layer.
Input types
Cloud Storage
Databases
Wikis
APIs
Document types
PDFs
Databases
Web Content
Spreadsheets
Text Files
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Connects to any knowledge source.
Structured or unstructured.
Your knowledge lives in different places. SharePoint folders, Notion databases, Google Drive, internal wikis, structured databases. The agent retrieves from all of them simultaneously, treating them as a unified knowledge layer.
Input types
Cloud Storage
Databases
Wikis
APIs
Document types
PDFs
Databases
Web Content
Spreadsheets
Text Files
Vendor_US.xlsx

3
Supply_2023.pptx

Review_Legal.pdf

Answers grounded in your data.
Not hallucinations.
The agent doesn't guess or invent. Every answer is built from information actually present in your knowledge sources. If something isn't documented, the agent says so.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Answers grounded in your data.
Not hallucinations.
The agent doesn't guess or invent. Every answer is built from information actually present in your knowledge sources. If something isn't documented, the agent says so.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Answers grounded in your data.
Not hallucinations.
The agent doesn't guess or invent. Every answer is built from information actually present in your knowledge sources. If something isn't documented, the agent says so.
Model providers

Security note
V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.
Answer
Type
Text
Tool
o4 Mini
Reasoning effort
Min
Low
Mid
High
AI Citations
Inputs
Set a prompt (Press @ to mention an input)
Verifiable reasoning.
Every claim is cited.
Click on any part of an answer and see exactly which source document it came from. Trace the reasoning step-by-step. No black boxes, no mystery.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Verifiable reasoning.
Every claim is cited.
Click on any part of an answer and see exactly which source document it came from. Trace the reasoning step-by-step. No black boxes, no mystery.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Verifiable reasoning.
Every claim is cited.
Click on any part of an answer and see exactly which source document it came from. Trace the reasoning step-by-step. No black boxes, no mystery.

Visual grounding in action
00:54
Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.
Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.
Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.
Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.
Prior Warning and Ignoring Compliance

02
01
01
02
Your knowledge stays yours.
Secure and compliant.
The agent respects all access controls in your connected systems. Sensitive documents remain protected. Data never leaves your secure environment or trains external models.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Your knowledge stays yours.
Secure and compliant.
The agent respects all access controls in your connected systems. Sensitive documents remain protected. Data never leaves your secure environment or trains external models.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Your knowledge stays yours.
Secure and compliant.
The agent respects all access controls in your connected systems. Sensitive documents remain protected. Data never leaves your secure environment or trains external models.
Certifications
GPDR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
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Answers
Answers
What you need to know about our
Advanced RAG Agent
How is this different from standard RAG?
Standard RAG retrieves documents and passes them to a model. Advanced RAG goes further: it understands document structure, recognizes entities and relationships, and applies multi-step reasoning to synthesize answers from multiple sources. It's the difference between finding a document and actually understanding what it means.
+
How is this different from standard RAG?
Standard RAG retrieves documents and passes them to a model. Advanced RAG goes further: it understands document structure, recognizes entities and relationships, and applies multi-step reasoning to synthesize answers from multiple sources. It's the difference between finding a document and actually understanding what it means.
+
How is this different from standard RAG?
Standard RAG retrieves documents and passes them to a model. Advanced RAG goes further: it understands document structure, recognizes entities and relationships, and applies multi-step reasoning to synthesize answers from multiple sources. It's the difference between finding a document and actually understanding what it means.
+
What knowledge sources can it connect to?
The agent integrates with SharePoint, Google Drive, Notion, Confluence, databases, internal wikis, and uploaded document collections. If your knowledge lives in a searchable system, the agent can access it.
+
What knowledge sources can it connect to?
The agent integrates with SharePoint, Google Drive, Notion, Confluence, databases, internal wikis, and uploaded document collections. If your knowledge lives in a searchable system, the agent can access it.
+
What knowledge sources can it connect to?
The agent integrates with SharePoint, Google Drive, Notion, Confluence, databases, internal wikis, and uploaded document collections. If your knowledge lives in a searchable system, the agent can access it.
+
How does it handle conflicting information?
When sources disagree, the agent flags the conflict, explains the discrepancy, and asks for clarification or guidance. It never silently picks one source over another or pretends certainty where none exists.
+
How does it handle conflicting information?
When sources disagree, the agent flags the conflict, explains the discrepancy, and asks for clarification or guidance. It never silently picks one source over another or pretends certainty where none exists.
+
How does it handle conflicting information?
When sources disagree, the agent flags the conflict, explains the discrepancy, and asks for clarification or guidance. It never silently picks one source over another or pretends certainty where none exists.
+
Can it answer questions about proprietary processes?
Yes. If you've documented your processes, policies, or decision frameworks in your knowledge sources, the agent can retrieve and reason over them. It becomes an expert in your firm's specific way of working.
+
Can it answer questions about proprietary processes?
Yes. If you've documented your processes, policies, or decision frameworks in your knowledge sources, the agent can retrieve and reason over them. It becomes an expert in your firm's specific way of working.
+
Can it answer questions about proprietary processes?
Yes. If you've documented your processes, policies, or decision frameworks in your knowledge sources, the agent can retrieve and reason over them. It becomes an expert in your firm's specific way of working.
+
How fast are the answers?
Most queries return answers in seconds. Complex questions requiring synthesis across multiple documents may take 10-30 seconds. Either way, it's dramatically faster than manual research.
+
How fast are the answers?
Most queries return answers in seconds. Complex questions requiring synthesis across multiple documents may take 10-30 seconds. Either way, it's dramatically faster than manual research.
+
How fast are the answers?
Most queries return answers in seconds. Complex questions requiring synthesis across multiple documents may take 10-30 seconds. Either way, it's dramatically faster than manual research.
+
Is sensitive data protected?
Yes. The agent respects all access controls in your connected systems. If a user doesn't have permission to view a document, the agent won't retrieve it. Data stays within your secure environment.
+
Is sensitive data protected?
Yes. The agent respects all access controls in your connected systems. If a user doesn't have permission to view a document, the agent won't retrieve it. Data stays within your secure environment.
+
Is sensitive data protected?
Yes. The agent respects all access controls in your connected systems. If a user doesn't have permission to view a document, the agent won't retrieve it. Data stays within your secure environment.
+
Next steps
Next steps
Tired of searching for answers?
Connect your knowledge sources and see how AI can reason over your firm's institutional memory to answer questions in seconds.
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: