LongmaoTeamTf/ant
Open-source vector database built to embedding similarity search
This is an open-source vector database designed for embedding similarity search. It takes numerical vector representations of items (like products, documents, or images) as input and allows you to quickly find items that are most similar to a given query item. This tool is for developers building applications that need to handle large collections of high-dimensional data and perform fast similarity lookups, such as recommendation engines or content retrieval systems.
No commits in the last 6 months.
Use this if you are a developer building an application that requires storing large amounts of vector embeddings and performing very fast nearest-neighbor searches.
Not ideal if you are a non-developer seeking a ready-to-use search application or if your data is not represented as numerical vectors.
Stars
10
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 07, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/LongmaoTeamTf/ant"
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