Shypd.aiThe largest open index of AI toolsvlite is a blazing fast vector database built with NumPy, designed for Retrieval-Augmented Generation (RAG) applications. It offers rapid retrieval with binary embeddings and requires no server setup, storing data in a portable CTX file.
Trending
Also listed in
About
vlite is a simple and blazing fast vector database built entirely in NumPy, eliminating the need for complex database setups or running servers. It's specifically designed for Retrieval-Augmented Generation (RAG) applications, offering exceptionally fast vector retrieval using binary embeddings. A key innovation is its CTX file format, which acts like a browser cookie for user embeddings, ensuring efficient storage, retrieval, portability, and user context. vlite supports ingesting various data types including text, PDF, CSV, PPTX, and webpages, with features like chunking, metadata filtering, and PDF OCR for scanned documents. Benchmarks show it to be significantly faster than alternatives like Chroma on indexing and retrieval, while also consuming less disk space. It is available as a Python package and integrates seamlessly with LangChain.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
