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AI • Enterprise
Enterprise RAG Knowledge Assistant
An enterprise knowledge assistant combining semantic retrieval with LLM generation to provide employees and customers quick access to dispersed knowledge.
Part of our AI and automation work.
AI / EnterpriseSample data01
The Challenge
Knowledge is dispersed across PDFs, policies, manuals, documentation, databases and internal resources. Employees and customers struggle to locate answers quickly and accurately.
02
Our Solution
Production RAG system that ingests knowledge assets, creates semantic embeddings, retrieves relevant context, and generates accurate responses grounded in verified information.
03
The Outcome
Enterprise knowledge system that transforms dispersed information into instant, grounded answers.
What Was Built
- Document ingestion pipeline
- Text processing and chunking
- Semantic embeddings
- Vector search
- Contextual generation
- Source citations
- Conversation memory
- Metadata filtering
- Admin knowledge management
- Analytics and evaluation
- Permission-based access
- Conversation history
Core Technology
- Python
- FastAPI
- OpenAI
- Anthropic
- LangChain
- LangGraph
- Supabase
- PostgreSQL
- pgvector
- Next.js
More Work
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