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With the rise of LLMs(Large Language Models) and RAG(Retrieval-Augmented Generation), vector databases, like Milvus and Pinecone, are getting a lot of attention. Traditional databases are also catching up in vector search support via third-party extensions, such as pgvector for PostgreSQL and sqlite-vss for SQLite.
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CodeRabbit
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With the rise of LLMs(Large Language Models) and RAG(Retrieval-Augmented Generation), vector databases, like Milvus and Pinecone, are getting a lot of attention. Traditional databases are also catching up in vector search support via third-party extensions, such as pgvector for PostgreSQL and sqlite-vss for SQLite.
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With the rise of LLMs(Large Language Models) and RAG(Retrieval-Augmented Generation), vector databases, like Milvus and Pinecone, are getting a lot of attention. Traditional databases are also catching up in vector search support via third-party extensions, such as pgvector for PostgreSQL and sqlite-vss for SQLite.
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With the rise of LLMs(Large Language Models) and RAG(Retrieval-Augmented Generation), vector databases, like Milvus and Pinecone, are getting a lot of attention. Traditional databases are also catching up in vector search support via third-party extensions, such as pgvector for PostgreSQL and sqlite-vss for SQLite.
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In this article, I'm introducing vectorlite, yet another fast and tunable vector search extension I write for SQLite that has just made its first beta release. It can now be installed using pip
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Sqlite-vss uses faiss to do vector seaching. It is a great library opensourced by Meta(facebook) and provides a wide range of algorithms for vector search. However, it is optimized for batch operations over a large dataset, making it slow for a single vector query and incremental indexing on CPU. However, SQLite's extensibility model (called virtual table) doesn't provide APIs for batch operations and only exposes API to insert/update/delete a single row at a time. Besides, sqlite-vss only support single-vector search, which faiss is not good at. As a result, sqlite-vss can't fully exploit faiss's performance.
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SaaSHub
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