Milvus provides an open-source vector database for generative AI and large collections of embeddings.
Infinity
Search AI application data with Infinity, a database supporting vectors, tensors, and full-text queries.

About Infinity
Infinity is an open source database for LLM applications such as search, recommenders, question-answering and RAG workflows. It stores dense vectors, sparse vectors, tensors, full-text and structured data, and supports hybrid search with filtering and rerankers including RRF, weighted sum and ColBERT.
It runs as separate client and server processes using Docker and provides a Python API. Use requires x86_64 CPU with AVX2 support, Python 3.11 or newer, and WSL or WSL2 on Windows.
Key features
- Hybrid search of dense embedding, sparse embedding, tensor and full-text
- Filtering combined with vector and full-text search
- Rerankers including RRF, weighted sum and ColBERT
- Stores strings, numerics, vectors and structured data
- Python API with separate client and server processes
- Single-binary deployment with Docker installation option
- Combines dense, sparse, tensor and full-text search in one database
- Single-binary architecture with no dependencies
- Open source with Python SDK and Docker deployment
- Requires x86_64 CPU with AVX2 support
- Requires Python 3.11 or newer for the client
- Windows installation requires WSL or WSL2
Infinity at a glance
- Category
- AI & Machine Learning › AI SQL & Database Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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