xhluca/bm25s

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

State-of-the-Art Embeddings, Retrieval, and Reranking

Retrieval and Retrieval-augmented LLMs

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Go Open Source, Distributed, Simple and efficient Search Engine; Warning: This is V1 and beta version, because of big memory consume, and the V2 will be rewrite all code.

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

Python client for Qdrant vector search engine