infiniflow/infinity
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text. observed · 2026-08-28
Health v2 · maintenance only
98/100
- Activity 98
- Release rhythm 96
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 6
- age_days: 1507
- days_rel: 27
- days_push: 16
- n_releases_24m: 50
Adoption not part of the score
4683 stars · 438 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Infinity is an AI-native database built for LLM applications, offering high-performance hybrid search across dense vectors, sparse vectors, tensors, and full text with filtering and reranking (RRF, weighted sum, ColBERT). It is a single-binary server with a Python SDK, deployable via Docker or embedded in Python.
Use cases
- build a RAG pipeline with hybrid vector and full-text search
- store and query embeddings for semantic search
- run BM25 full-text search over millions of documents
- combine dense, sparse, and tensor search with rerankers like ColBERT
- self-host a vector database for a chatbot or QA app
- filter vector search results by structured data
When to choose
- you need fast hybrid search combining vectors and full text in one database
- you want a dependency-free single-binary vector database with a Python API
- you need reranking (RRF, weighted sum, ColBERT) built into the query engine
- you are building LLM/RAG applications needing sub-millisecond retrieval
When to avoid
- you only need a general-purpose relational database without vector search
- your hardware lacks AVX2 support
- you need a fully managed cloud database service
- you require mature multi-node distributed clustering
Facets
service · maturity active
vector-database search-engine database rag databases large-language-models artificial-intelligence windows self-hosted python cpp hybrid-search full-text-search bm25 hnsw sparse-vectors tensor-search reranking colbert embeddings ai-native-database search retrieval-augmented-generation linux macos docker
5 sources
- readme: https://github.com/infiniflow/infinity · fetched 2026-08-28 · 5cf8264d813e
- homepage: https://infiniflow.org · fetched 2026-08-29 · cba16db49a4c
- site_page: https://infiniflow.org/docs/category/get-started · fetched 2026-08-29 · a06a818e548e
- site_page: https://infiniflow.org/docs · fetched 2026-08-29 · ed36803599e6
- site_page: https://infiniflow.org/docs/dev · fetched 2026-08-29 · 8dd003516fa7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| infiniflow/infinity | main | 98 |
For agents
markdown · JSON · MCP: product_card(name="infiniflow/infinity")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem