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🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
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Latest capture 2026-07-04 03:05
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Scanned 2026-07-04 03:05
pyproject.toml
python ecosystem,
45 dependencies
demo-web/package.json
javascript ecosystem,
21 dependencies
docs/requirements.txt
python ecosystem,
9 dependencies
rankify/requirements.txt
python ecosystem,
35 dependencies
demo-web/package-lock.json
javascript ecosystem,
0 dependencies
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⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
Alcove is an MCP server that gives AI coding agents on-demand access to your private project docs — BM25 + vector hybrid search for precision retrieval, tree-sitter code indexing so agents understand your codebase structure, and policy enforcement for doc consistency.
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
