Infinity

Free#18 of 27 in Vector Databases

Infinity: A broad, open-source retrieval database for Python teams running infrastructure themselves. Ranked #18 of 27 in Vector Databases by our editors (7.6/10); pricing: Open source; best for python teams needing full hybrid retrieval locally.

7.6/10★★★★☆Editor score

Visit Infinity

Infinity7.6 Visit Infinity

At a glance

• Editor score
  7.6 / 10
• Pricing
  Open source
• Best for
  Python teams needing full hybrid retrieval locally
• Paid from
  Free
• Deployment
  Self-hosted
• Facts checked
  22 Sep 2026

• Where it wins

  • Combines dense, sparse, full-text, filtered, tensor, and multivector search
  • Supports HNSW, IVF, and Block-Max Pruning indexes
  • Offers embedded Python and client-server deployment modes

• Where it doesn't

  • Deployment is self-hosted rather than a hosted cloud service
  • The SDK language listed is Python
  • Requires Docker, binaries, or Python embedding for deployment

Our verdict on Infinity

Infinity is an open-source database for LLM and retrieval-augmented generation applications. It stores dense vectors, sparse vectors, tensors, full-text fields, and structured data, making it a fit for Python teams that need several retrieval methods in one system. Its search capabilities cover dense, sparse, full-text, hybrid, filtered, tensor, and multivector queries, with an HTTP API available for client-server deployments.

Its main strength is breadth within retrieval. Dense search supports HNSW and IVF indexes, while sparse search uses Block-Max Pruning indexing. Full-text search includes analyzers and BM25 scoring, and hybrid search can combine dense, sparse, and full-text retrieval. Secondary or full-text indexes support metadata and conditional filtering. Reranking options include reciprocal rank fusion, weighted sums, and ColBERT, giving teams multiple ways to combine or refine results.

Infinity can run as a standalone server or be embedded in Python applications. That split suits teams choosing between a local library-style deployment and a client-server architecture, while the Python SDK keeps the documented development path focused. The trade-off is operational: deployment is self-hosted through Docker, binaries, or Python embedding rather than a hosted cloud service. Choose Infinity when local control and wide retrieval coverage matter more than managed infrastructure or broader SDK language coverage; consider an alternative if those requirements are central.

Your product? Our editors can test Infinity in depth and publish a review, labelled as paid · from $149/mo →

Infinity pricing

Infinity fact sheet

Alternatives to Infinity

• ElasticsearchA broad hybrid-search platform for teams adding vectors to mature analytics stacks.9.3
• Vertex AI Vector SearchA managed Google Cloud option for teams building dense, sparse, and hybrid search.9.2
• VikingDBA cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval.9.1

See all Infinity alternatives →

Featured on iTechGuides

Infinity is listed in our Vector Databases directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/infinity/"><img src="https://www.itechguides.com/best/badge/infinity.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update