Official code for ACL2025 "🔍 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models"
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Updated
Dec 22, 2025 - JavaScript
Official code for ACL2025 "🔍 Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models"
smallevals — CPU-fast, GPU-blazing fast offline retrieval evaluation for RAG systems with tiny QA models.
Official codebase for the ACL 2025 Findings paper: Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval.
面向智能清洁设备售前咨询、故障诊断与用户运营的企业级多智能体服务平台。基于 LangChain/LangGraph、通义千问、Chroma RAG、FastAPI、React 与 SQLite,集成调度 Agent、受控 Skill、知识库安全运营、JWT/RBAC、分层记忆与用户可控遗忘、定位天气、流式执行摘要及 Recall@K/MRR 评测。
Validate TREC qrels and runs in CI; explore a MiniLM browser lab and FAISS + DeBERTa product-search pipeline.
Hybrid RAG (BM25 + NumPy in-memory vector store) with LLM-as-a-Judge response scoring and a retrieval evaluation harness. Built with Gemini 2.5 Flash.
Published PyPI package for ArXiv embedding benchmarks, retrieval evaluation, and scientific RAG experiments.
Human-verified evaluation for RAG, policies, search quality, model versions, and AI agents.
Open-source retrieval diagnostics toolkit for enterprise RAG pipelines
RAG retrieval benchmark runner with JSON reports, Pareto plots, and regression gates for retrieval quality changes.
Bilingual RAG evaluation benchmark for culturally grounded English/Uzbek retrieval
Hybrid legal search over 83,706 U.S. Code chunks combining BM25 and HNSW pgvector, with LLM query rewriting and a Precision@3/Recall@5/MRR evaluation harness. FastAPI backend, Next.js frontend.
YouTube transcript retrieval lab comparing E5 + FAISS, Japanese BM25, hybrid, and agentic search with timestamped evidence and evaluation.
Hybrid (dense + BM25) RAG retrieval service on Qdrant/PostgreSQL with offline evaluation and a web console
Deterministic RAG evaluation toolkit -- retrieval metrics (recall, precision, MRR), corpus overlap detection, and CI regression gating without model calls.
Local-first memory infrastructure for coding workflows: deterministic retrieval, explainable traces, MCP/REST/SDK interfaces, and standalone browser-first operation.
A minimal RAG pipeline with a labelled retrieval eval set, testing whether query rewriting and routing actually improve retrieval. They didn't.
Cited RAG over a product manual — hybrid BM25 + dense retrieval, cross-encoder re-ranking, 25-question eval harness.
Score chunking configs by whether gold answer spans stay retrievable, in character span space
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