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citation-grounded-ai

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tankeanseng / agentic-document-intelligence

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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
  • Updated Mar 21, 2026
  • Python

tankeanseng / RAG-Research-Summarizer-and-Q-A-for-SEC-Filings

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SEC 10-Q Intelligence Copilot that converts filings into CIO summaries + citation-grounded Q&A. Structure-aware chunking, Pinecone vector DB, table/image “visual facts”, hybrid BM25+dense fused via RRF + reranking, GPT generation with guardrails (PII redaction, prompt/doc injection), n8n workflow on AWS ECS + Lambda.

question-answering financial-analysis bm25 reranking pinecone sec-filings rag vector-search n8n hybrid-search cross-encoder document-intelligence qlora retrieval-augmented-generation ragas multimodal-rag ai-guardrails prompt-injection-defense citation-grounded-ai
  • Updated Feb 26, 2026
  • Python

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