How to Build a Vector Database with SQLite in Node.js.
SMRTR summary
Large Language Models (LLMs) are becoming more compact and efficient, potentially running locally on smaller devices. SQLite, widely used in many systems, could serve as both storage and a vector database for these models. This article demonstrates building a vector database with SQLite in Node.js for Retrieval-Augmented Generation (RAG) applications, covering database seeding, embedding generation, vector searches using cosine similarity, and implementing a basic chat system. It also compares JavaScript performance to a custom C++ SQLite plugin, highlighting the efficiency of TypedArrays and Node.js for vector operations.
SMRTR provides this summary for quick context. The original article belongs to Dev.to.
Read the original article