AnswerAI ColBERT Small v1 is an open-weight ColBERT-style model for multi-vector text embeddings and passage retrieval. Developers can run it locally with Sentence Transformers, RAGatouille, or related retrieval tooling.
Answerai Colbert Small is an Other AI project. It focuses on improving semantic search and passage retrieval with locally runnable multi-vector embeddings. It is built as an open-source project for developers building semantic search and RAG systems. Answerai Colbert Small is open source under the Apache-2.0 license. It ships for the command line, and it can be self-hosted.
It is developed by Answer.AI, and it first shipped in 2024. The project is developed in the open on GitHub with 1.6k stars. Key capabilities include text embeddings, multi-vector retrieval, and passage reranking.
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