Plans for the future include but aren't limited to
- Support for non linear search algorithms like HNSW
- Helmchart support for ease of installation
- Horizontal scalability with clustering
- AI proxy support for audio to embedding model
We've built ähnlich! A fast lightweight no-BS similarity search engine that runs in-memory. Docs are live at https://ahnlich.dev and we currently support Python, Rust and Go libraries
Plans for the future include but aren't limited to - Support for non linear search algorithms like HNSW - Helmchart support for ease of installation - Horizontal scalability with clustering - AI proxy support for audio to embedding model
Let's gooooooooo
We've built ähnlich! A fast lightweight no-BS similarity search engine that runs in-memory. Docs are live at https://ahnlich.dev and we currently support Python, Rust and Go libraries
More than open to your contributions and usecases that I haven't considered at https://github.com/deven96/ahnlich
great stuff
cool stuff