deven96/ahnlich
Suite of tools containing an in-memory vector datastore and AI proxy
Ahnlich helps AI/ML engineers manage and search for similar items based on their characteristics. You input raw data like images or text, and it transforms them into searchable numerical representations (vectors) along with descriptive metadata. It then allows you to efficiently find items that are similar to new inputs, even filtering results based on specific metadata.
185 stars.
Use this if you need to build applications that quickly find similar data points (like recommending similar products or finding duplicate documents) based on their underlying features and associated details.
Not ideal if your primary need is for a simple relational database or a general-purpose key-value store without advanced similarity search capabilities for vectors and their metadata.
Stars
185
Forks
18
Language
Rust
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/deven96/ahnlich"
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