Agentic RAG system with five workflow modes from Naive to Deep, routing each question to the cheapest path that answers it well, fusing dense and BM25 retrieval through Reciprocal Rank Fusion with CrossEncoder reranking, verifying groundedness and citations, and gating risky answers behind a human-in-the-loop approval queue.
semantic-search-engine semantic-search bm25 document-retrieval ai-agents reranker rag vector-search ai-assistant crag document-intelligence langchain langgraph advanced-rag corrective-rag agentic-ai self-rag ai-document-search tool-usage-llm smart-document-search
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Updated
Aug 5, 2026 - Python