Agentic RAG system for complex document intelligence using multi-source retrieval across vector search, GraphRAG, and SQL. Includes query transformation, citation-grounded answers, self-reflection, corrective repair, RAGAS-style evaluation, conversational follow-ups, and a deployed frontend on AWS.
knowledge-graph text-to-sql rag multi-hop-reasoning vector-search hybrid-search document-intelligence llm generative-ai retrieval-augmented-generation llm-evaluation ragas graphrag agentic-ai self-reflective-rag ai-guardrails query-decomposition contextual-compression citation-grounded-ai evidence-fusion
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Updated
Mar 21, 2026 - Python