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InfinityFlow
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Supercharge LLM apps with lightning-fast hybrid search
Most popular alternative: DeClutr (39 saves)
By unverified author Claim this AI
Infinity is an AI-Native database for LLM applications, offering top-notch performance and flexibility to meet future AI application challenges. It is known for its incredibly quick hybrid search capability, which covers dense embedding, sparse embedding, tensor, and full text, and also offers efficient filtering.
The search tool also supports several types of rerankers including RRF, weighted sum, and ColBERT. Ease of use is a key feature of Infinity, evident in the systems intuitive Python API as well as a single-binary architecture that imposes no dependencies, thus making deployment smooth and quick.
Infinity covers a broad range of data types including strings, numerics, vectors, and more. It also boasts to offer excellent performance on million-scale vector datasets with minimum query latency.
The tools community can be accessed for support and updates via Twitter, Github, and Discord.
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Releases
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June 12, 2024
Initial release of InfinityFlow.
Pricing
Pricing model
Free
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Free
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InfinityFlow was manually vetted by our editorial team and was first featured on July 17th 2024.
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16,11419Released 16d agoFree + from $19.99/mo
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23,05032Released 10d agoFree + from $20/mo
Pros and Cons
Pros
Top-notch performance
High flexibility
Fast hybrid search
Covers dense embedding
Covers sparse embedding
Covers tensors and full-text
Efficient data filtering
Supports RRF rerankers
Supports weighted sum rerankers
Supports ColBERT rerankers
Intuitive Python API
Quick deployment
Single binary architecture
No dependencies
Broad data type coverage
Strings data type
Numerics data type
Vectors data type
Excellent on million-scale vectors
Minimum query latency
Community support via Twitter, Github, Discord
View 16 more pros
Cons
Lacks multi-language support
No clear upgrade path
Support only via social platforms
Limited reranker type support
No mentioned security features
Single-binary may limit customization
No explicit large-scale performance
No desktop client
No offline documentation available
No mentioned data cleaning integration
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Q&A
What is InfinityFlow Infinity?
InfinityFlow Infinity is an AI-Native database specially designed for LLM applications. It stands out for its superior performance and flexibility to adapt to upcoming AI application challenges.
How does InfinityFlow Infinity's hybrid search capability work?
InfinityFlow Infinity's hybrid search feature works on the principle of quick data retrieval. It supports dense embedding, sparse embedding, tensor and full text searches, making it versatile and efficient in delivering results.
What types of rerankers does InfinityFlow Infinity support?
InfinityFlow Infinity supports several rerankers types, namely RRF, weighted sum, and ColBERT. This variety of rerankers enhances the search effectiveness and precision.
How easy is it to deploy InfinityFlow Infinity?
Deploying InfinityFlow Infinity is straightforward and quick due to its single-binary architecture. This design imposes no dependencies, ensuring a smooth deployment process.
What data types does InfinityFlow Infinity support?
InfinityFlow Infinity supports a broad range of data types. This includes strings, numerics, vectors, and more, ensuring it can handle diverse data structures and formats.
What performance can I expect from InfinityFlow Infinity on million-scale vector datasets?
On million-scale vector datasets, InfinityFlow Infinity guarantees top-notch performance. It offers low query latency, achieving 0.1 milliseconds on these datasets and going up to 15K QPS.
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