jina-ai/vectordb
A Python vector database you just need - no more, no less.
This project provides a simple yet powerful tool for storing and retrieving information using vector embeddings. You can input various data types, like text or images, which are then converted into numerical vectors. The tool then allows you to efficiently find similar items based on these vector representations, outputting the most relevant results. It's designed for developers who need to integrate efficient similarity search into their applications.
644 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a Python developer building applications that require fast and scalable similarity search based on vector embeddings, such as recommendation engines or semantic search.
Not ideal if you need a non-Python specific vector database solution or require advanced features like complex graph analytics out-of-the-box.
Stars
644
Forks
50
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 04, 2024
Commits (30d)
0
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