castorini/pyserini

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.

Fast BM25 search in Python, powered by Numpy and Numba

Retrieval and Retrieval-augmented LLMs

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

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

Search infrastructure for AI

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval