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Private RAG & Vector Database
Secure indexing of proprietary data.
Enterprise RAG
Enterprise Knowledge AI
A secure Private RAG (Retrieval-Augmented Generation) platform. Build AI assistants trained on your internal knowledge base without exposing confidential data to public AI.
Built for enterprise reality
FalconPro composes platform capabilities into outcomes your security, architecture, and business teams can defend.
- Unlike generic AI, Enterprise RAG grounds every response in trusted knowledge
- Accurate, contextual answers with full citation and audit trail
- Private RAG & vector database for proprietary data
- Local LLM support — run models entirely on-site
What you get
Enterprise-grade capabilities designed for regulated environments.
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Local LLM Support
Run models entirely on-site.
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Document OCR
Process scanned documents and images.
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Citations & Source Referencing
Every answer includes a verifiable link.
How Enterprise RAG Works
Unlike generic AI, Enterprise RAG grounds every response in your organization's trusted knowledge — accurate, contextual answers with full citation and audit trail.
Connect Your Data
Link documents, databases, email, SharePoint, ERPs, CRMs, and cloud repositories.
Index & Enrich
Content is securely processed, chunked, and optimized for semantic retrieval.
Retrieve in Context
The most relevant knowledge is surfaced in real time against each query.
Generate & Cite
LLMs produce grounded responses with source citations and audit trace.
Core Features
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Private RAG & Vector Database
Secure indexing of proprietary data.
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Local LLM Support
Run models entirely on-site.
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Document OCR
Process scanned documents and images.
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Role-Based Access (RBAC)
Inherit existing permission structures.
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Citations & Source Referencing
Every answer includes a verifiable link.
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Large Document Collections
Management tools for millions of files.
Supported LLMs: OpenAI, Llama, Mistral, Gemma, Claude, Gemini, Custom Models.
Technical features: Vector databases, Hybrid semantic search, Multi-modal retrieval, Metadata filtering, Knowledge chunking, Multi-LLM orchestration, AI guardrails, Citation-based responses, Document grounding, Agentic workflows, API integrations, Enterprise connectors.
Your Existing Stack
Native connectors for the tools teams already use.
Productivity
Microsoft 365, SharePoint, Google Workspace
Enterprise Apps
SAP, Oracle, Salesforce, ServiceNow, Dynamics 365
Collaboration
Slack, Teams
Data
PostgreSQL, SQL Server
Custom
APIs & Custom Systems
Need a technical walkthrough of your RAG architecture?
Book a demo and we'll map your corpus, connectors, and residency requirements.