Falcon AI
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.
Unlike generic AI, Enterprise RAG grounds every response in your organization's trusted knowledge, delivering accurate, contextual answers with full citation and audit trail.
How Enterprise RAG Works
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
Private RAG & Vector Database
Secure indexing of proprietary data.
Local LLM Support
Run models entirely on-site.
Document OCR
Process scanned documents and images.
Role-Based Access (RBAC)
Inherit existing permission structures.
Citations & Source Referencing
Every answer includes a verifiable link.
Large Document Collections
Management tools for millions of files.
Multilingual & Version Control
Full support for global, evolving data.
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.
Need a technical walkthrough of your RAG architecture?
Speak with an Architect