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financebench

Here are 21 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 Oct 6, 2026
  • Python

Vouch — 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. 92% coverage with zero hallucinations on FinanceBench, 97% of narrative answers grounded, behind a paired per-case regression gate. LangGraph + pgvector on Cloud Run.

  • Updated Oct 19, 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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