open-retrievals and rag-evaluation-framework
Maintenance
2/25
Adoption
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Maturity
25/25
Community
17/25
Maintenance
13/25
Adoption
0/25
Maturity
9/25
Community
0/25
Stars: 74
Forks: 13
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: —
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
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About open-retrievals
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.
information-retrieval
document-search
question-answering
knowledge-management
text-analytics
About rag-evaluation-framework
jsandino/rag-evaluation-framework
A research prototype to evaluate retrieval-augmented generation (RAG) models, embeddings, and prompt strategies.
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