Show HN: VectorLiteDB – a vector DB for local dev, like SQLite but for vectors https://ift.tt/zu0oq32

Show HN: VectorLiteDB – a vector DB for local dev, like SQLite but for vectors I built [VectorLiteDB ( https://ift.tt/KrM5pnW ) — a simple, embedded vector database that stores everything in a single file, just like SQLite. The problem: If you’re a developer building AI apps, you usually have two choices for vector search - Set up a server (e.g. Chroma, Weaviate) - Use a cloud service (e.g. Pinecone) That works for production, but it’s overkill when you just want to: - Quickly prototype with embeddings - Run offline without cloud dependencies - Keep your data portable in a single file The inspiration was *SQLite* during development — simple, local, and reliable. The solution: So I built VectorLiteDB - Single-file, embedded, no server - Stores vectors + metadata, persists to disk - Supports cosine / L2 / dot similarity - Works offline, ~100ms for 10K vectors - Perfect for local RAG, prototyping or personal AI memory Feedback on both the tool and the approach would be really helpful. - Is this something that would be useful - Use cases you’d try this for https://ift.tt/KrM5pnW September 20, 2025 at 05:54PM