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RAGFreeOpen Source
SENTENCE TRANSFORMERS
Embeddings and rerankers for semantic search and RAG
Apache-2.0
ABOUT
Building retrieval systems usually means stitching together separate embedding models, ranking logic, and training code, then tuning them for search quality and latency. Sentence Transformers packages state-of-the-art embedding and reranking models behind a consistent interface so teams can build semantic search and RAG pipelines without training custom representation models from scratch.
INSTALL
pip install -U sentence-transformersINTEGRATION GUIDE
1. Generate dense embeddings for semantic search over documents, tickets, or product knowledge bases
2. Rerank retrieved passages before generation to improve answer quality in a RAG pipeline
3. Fine-tune embedding models on domain-specific pairs for legal, healthcare, or support search
4. Build duplicate detection, clustering, and recommendation systems from sentence-level embeddings
TAGS
embeddingsretrievalrerankingsemantic-searchragpythonhugging-face