vector-data
A vector indexing library to bring fast, fresh and filtered search to your database.
DiskANN3 is a composable library for bringing scalable, accurate and cost-effective vector indexing to multiple databases. It draws on research from the DiskANN project.
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Memory Management Kit for Agents - Remember Me, Refine Me.
🧠ReMe is a memory management framework built for AI agents, offering both file-based and vector-based memory systems.
It addresses two core problems of agent memory: limited context windows (early information gets truncated or lost during long conversations) and stateless sessions (new conversations cannot inherit history and always start from scratch).
ReMe gives agents real memory — old conversations are automatically condensed, important information is persisted, and the next conversation can recall it automatically.
The vector database to build knowledgeable AI.
The vector database for machine learning applications. Build vector-based personalization, ranking, and search systems that are accurate, fast, and scalable.
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Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.
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The most powerful vector database for building AI applications. Open-source PostgreSQL database extension for vector data and vector search operations.
Lantern is an open-source PostgreSQL database extension to store vector data, generate embeddings, and handle vector search operations.
Qdrant (read: quadrant ) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points - vectors with an additional payload. Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.
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