MuopDB
MuopDB is an open-source vector database designed for fast and scalable similarity search in AI applications.
About this tool
MuopDB
MuopDB is an open-source vector database designed for fast and scalable similarity search in AI and machine learning applications.
Features
- Vector Database for Machine Learning: Designed specifically for storing and searching vector embeddings, suitable for AI and LLM "memory" use-cases.
- Multi-User Support: Each user can have their own vector index within the same collection, enabling user-specific memory without operational complexity.
- Efficient Storage: Indices for all users are stored in a few files, optimizing storage management and reducing complexity.
- Customizable Collections: Create collections with configurable parameters such as number of features (dimensions), write-ahead log size, flush interval, and pending operations.
- Vector Ingestion: Supports adding vectors to collections, including specifying document and user IDs.
- Similarity Search: Perform top-K similarity search queries for given vectors, with options to tune search parameters (e.g., ef_construction).
- API Access: Interact with the database via HTTP API, suitable for integration with other tools and services.
- Open Source: Released under an open-source license, allowing community contributions and transparency.
- Docker Support: Can be run using Docker and Docker Compose for easy deployment.
- Python and Rust Codebases: Contains both Python and Rust implementations for flexibility and performance.
Pricing
MuopDB is open-source software and is available for free.
Tags
open-source, vector-database, similarity-search, scalable
Surveys
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