What is InfinityFlow?
Infinity is an AI-native database designed for large language model applications. It delivers hybrid search across dense and sparse embeddings, tensors, and full‑text, with optional filtering and reranking via RRF, weighted sum, or ColBERT. The system achieves 0.
1 ms query latency and supports up to 15 K queries per second on million‑scale vector collections. Data types include strings, numerics, and vectors, enabling diverse data storage. Developers benefit from an intuitive Python API and a single‑binary deployment that requires no external dependencies.
InfinityFlow pricing
FreemiumInfinityFlow offers a free plan with paid upgrades available.
Verify on the official pricing page.
View plansInfinityFlow's key features
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0.1 ms query latency
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15K QPS throughput
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Hybrid dense sparse tensor search
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Supports RRF weighted rerankers
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Wide range data types
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Intuitive Python API
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Single-binary no dependencies
InfinityFlow use cases
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Build a real-time recommendation engine for e-commerce, using hybrid dense‑sparse vector search to match user browsing patterns with product embeddings and deliver sub‑100 ms personalized upsell suggestions
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Create a semantic search layer for enterprise knowledge bases, combining full‑text indexing with ColBERT reranking to surface contextually relevant policy documents and technical specs for internal chatbots
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Develop a data‑science pipeline that stores and queries high‑dimensional image embeddings, enabling rapid similarity search for anomaly detection and clustering at 15 k qps
InfinityFlow user reviews
Would you recommend InfinityFlow?
Who is InfinityFlow for?
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Data analysts
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Software developers
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Database administrators
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Data scientists
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Hybrid search engineers
InfinityFlow FAQ
Is InfinityFlow free?
Partly. InfinityFlow has a free plan with usage limits, and paid plans unlock the full feature set.
What are the best alternatives to InfinityFlow?
The closest alternatives to InfinityFlow are Spice.ai and SvectorDB. You can compare them side by side in the alternatives section further down this page.
