vectordb

Why we included this project

Epsilla is a vector database that behaves like a regular database: vectors live in tables with the same fields, keys, and indexes you already know, instead of sitting behind a bare indexing library. That makes it a practical choice for retrieval-augmented generation and semantic search, where the storage layer tends to become the bottleneck. It handles metadata filtering, hybrid dense and sparse retrieval, and built-in embeddings, so you can query in natural language without gluing the pieces together yourself. The engine is written in C++, and the README claims a tenfold speedup in search, which is worth verifying against your own dataset. A Docker image, Python, JavaScript, and Ruby clients, REST endpoints, and LangChain and LlamaIndex integrations keep setup quick.