SimpleVecDB
Dead-simple local vector database powered by sqlite-vec.
What it does
The Chroma experience in a single SQLite file. SimpleVecDB brings zero-infrastructure vector search to local RAG apps, offline agents, and indie hackers. Built on sqlite-vec with ~2ms queries, 32x storage compression, hybrid BM25+vector search, and LangChain/LlamaIndex integrations. Just `pip install` and go—no Docker, no cloud bills, no Redis. Your vectors live in one portabledb file that runs anywhere Python runs.
Does a similar job
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Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
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Zvec is a lightweight, SQLite-like embedded vector database purpose-built for edge and on-device workloads. It delivers four core advantages: out-of-the-box usability, configurable resource budgets, extreme performance, and versatile vector capabilities. Open-sourced under the Apache 2.0 license, Zvec aims to provide developers with a one-stop path from prototyping to production deployment on the edge. Try Zvec—we’re excited to see your adoption, feedback, and contributions. For a more detailed introduction, you can refer to https://zvec.org/en/blog/introduction/
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