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financebench

Here are 14 public repositories matching this topic...

Advanced RAG pipelines for medical (HealthBench, MedCaseReasoning, MetaMedQA, PubMedQA) and financial (FinanceBench, Earnings Calls) QA. LangGraph orchestration + BAML structructed generation, Milvus Hybrid search (Dense + BM25 + RRF), three-layer Metadata Enrichment, Contextual AI instruction-following reranker, and DeepEval evaluation.

  • Updated Sep 8, 2026
  • Python

Finance-grade tool-calling agent over SEC filings for any US public company: exact XBRL numbers (never LLM arithmetic), every claim cited, abstains instead of fabricating. Validated on FinanceBench (44%→87% coverage, near-zero hallucination) with a 3-layer eval and a domain judge calibrated to human labels (κ=0.76). LangGraph + pgvector.

  • Updated Aug 26, 2026
  • Python

Rigorous evaluation of contextual retrieval techniques on FinanceBench: comparing 5 embedders × 4 chunking strategies with bootstrapped confidence intervals on FinMTEB and FinanceBench.

  • Updated May 12, 2026
  • Jupyter Notebook

Five RAG architectures built from scratch in plain Python — Naive, Hybrid, Agentic, Graph & production-grade Advanced — over real 10-K filings, evaluated on FinanceBench. No LangChain, no API keys, 100% local.

  • Updated Sep 9, 2026
  • Python

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