LongxingTan/open-retrievals
All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers
This project helps anyone working with large collections of text documents to find the most relevant information efficiently. You input your documents and a search query, and it outputs the best matching documents, ranked by relevance. It's designed for professionals who need to build advanced search or question-answering systems.
No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly and accurately retrieve specific information from extensive text datasets or want to enhance a chatbot's ability to answer questions based on your documents.
Not ideal if you only need a basic keyword search or if your document collection is very small and simple.
Stars
74
Forks
13
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 10, 2025
Commits (30d)
0
Dependencies
5
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/LongxingTan/open-retrievals"
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