Ahnlich
In-memory vector datastore and AI proxy for storing and querying embeddings.
PlatformWebfree

Ahnlich is an open-source suite of tools for storing and searching vector embeddings, including an in-memory vector datastore and an AI proxy that converts raw text or images into embeddings. It's aimed at AI/ML engineers building applications that need similarity search over vector data, distributed as binaries and Docker images with client libraries for several languages.
Categories
Vector DatabaseAI Infrastructure
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