I will build an enterprise rag knowledge search platform with hybrid retrieval

Need your team to find answers across thousands of internal documents, and trust them? I build enterprise RAG (retrieval-augmented generation) search platforms that answer only from your sources, cite every claim, and say "not in the sources" instead of guessing.

What you get:

• Hybrid retrieval: keyword (BM25), exact-identifier and vector search, fused with Reciprocal Rank Fusion
• Cross-encoder reranking for sharper top results
• Grounded answers with chunk-level citations
• Multi-tenant isolation and document-level access control enforced inside every query
• Ingestion for PDF, DOCX, HTML, scans and tables, with chunking, dedup and versioning
• An evaluation harness with a golden question set, so quality is measured, not guessed
• FastAPI, React/TypeScript, OpenSearch, PostgreSQL, Docker

Fully self-hostable: run it as SaaS or inside your own VPC.

Please message me before ordering with your document types, volume and preferred LLM (OpenAI, Claude, AWS Bedrock or open-source) so I can confirm scope.