Supercharge LLM apps with lightning-fast hybrid search

Open

July 17, 2024

InfinityFlow

Data management

447

5.0(1)

Use tool Copy 🔗

Inputs:

Outputs:

API

Supercharge LLM apps with lightning-fast hybrid search

Overview

Overview Releases Pricing Pros & Cons Prompts Reviews Q&A

Top alternatives

Overview Discussion

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.

Releases

Get notified when a new version of InfinityFlow is released

Notify me

Initial release

June 12, 2024

Initial release of InfinityFlow.

+ Submit new release

Pricing

Pricing model

Free

Paid options from

Free

Use tool

Save

🔗 Copy link

🗳️ Vote Best AI Tool

Featured

Data management InfinityFlow

Data management

447

5.0(1)

Overview Releases Pricing Pros & Cons Prompts Reviews Q&A

Use tool

Save

Featured alternatives

BlazorData

Build your personal data warehouse with Blazor

Data management

Open

22,908
39
5.0

Released 3mo ago
100% Free
Share

22,001 blazordata.net
Polymer Runtime Data Security

Prevent AI data breaches with real-time risk management.

Cybersecurity

Open

2,440
60
5.0

v2.1 released 4mo ago
No pricing
Share

788 www.polymerhq.io

Zack Fediay

🛠️ 4 tools 🙏 52 karma

May 21, 2025

Not just alerts - real time visibility for Slack, Google Workspace, and AI APIs to stop risks before they become breaches

61 Reply Share Edit Delete Report

Promote AI Claim AI New release

Reviews

5.0

Average from 1 rating.

★ ★ ★ ★ ★ 1

★ ★ ★ ★ 0

★ ★ ★ 0

★ ★ 0

★ 0

How would you rate InfinityFlow?

Help other people by letting them know if this AI was useful.

Your rating

★ ★ ★ ★ ★

Post

Prompts & Results

Title:

Description:

Prompt type*:

Prompt*:

Output type*:

Output*:

Add your own prompts and outputs to help others understand how to use this AI.

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

View 5 more cons

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.

+ Show 13 more

Is there a community support for InfinityFlow Infinity?

Yes. InfinityFlow Infinity provides community support, accessible via several platforms, for queries, assistance, and updates.

How can I access support and updates for InfinityFlow Infinity?

You can access support and updates for InfinityFlow Infinity on multiple platforms, such as Twitter, Github, and Discord. The community is active on these platforms and can provide timely help and information.

What makes InfinityFlow Infinity stand out in terms of performance and flexibility for AI applications?

InfinityFlow Infinity stands out in terms of performance and flexibility for AI applications due to its fast hybrid search capability. It covers dense and sparse embedding, tensor search, and full-text search. Its rerankers support, easy-to-use Python API, quick deployment features, and variety of data types support make it highly flexible and efficient for AI applications.

How does InfinityFlow Infinity's Python API enhance ease of use?

InfinityFlow Infinity's Python API enhances ease-of-use by providing an intuitive interface for interaction with the system. With this, users can efficiently navigate the database's features and capabilities.

What are LLM applications and how does InfinityFlow Infinity cater to them?

LLM applications refer to applications related to Machine Learning libraries. InfinityFlow Infinity, as an AI-native database, offers highly optimized performance and flexibility to meet the challenges that emerge in designing AI applications, thus catering well to LLM applications.

What level of latency can I expect with InfinityFlow Infinity's queries?

With InfinityFlow Infinity's queries, you can expect extremely low latency. The system accomplishes 0.1 milliseconds latency on million-scale vector datasets.

Can I deploy InfinityFlow Infinity without any dependencies?

Yes. Because of its single-binary architecture, you can deploy InfinityFlow Infinity without any dependencies. This feature simplifies the deployment process, making it efficient and hassle-free.

How efficient is the data filtering in InfinityFlow Infinity?

Data filtering in InfinityFlow Infinity is highly efficient. It works in conjunction with the hybrid search capability to deliver relevant and precise results by filtering out unnecessary data.

Can I use InfinityFlow Infinity for full text searches?

Yes. Included in its hybrid search capabilities, InfinityFlow Infinity supports full-text searches, making it versatile in handling both structured and unstructured data.

Is there comprehensive documentation for getting started with InfinityFlow Infinity?

Yes. Comprehensive documentation is available on their website for getting started with InfinityFlow Infinity, allowing users to understand and navigate the tool effectively.

What is the purpose of the single-binary architecture in InfinityFlow Infinity?

The single-binary architecture in InfinityFlow Infinity serves a simple purpose: it eliminates the need for any dependencies, thereby making deployment smooth and quick.

How does the Python API of InfinityFlow Infinity work?

InfinityFlow Infinity's Python API is a user-friendly interface that allows users to interact with the system's features and functionalities easily. Its intuitive nature ensures hassle-free navigation and execution of tasks.

Does InfinityFlow Infinity offer any features tailored to future AI application challenges?

Yes, InfinityFlow Infinity is designed with advanced features to keep pace with future AI application challenges. This includes its rapid hybrid search capabilities, wide-ranging data type support, low query latency performance, and ease of deployment.

Ask a question

Submit

Search

InfinityFlow

Releases

Pricing

Featured alternatives

Related topics

Reviews

How would you rate InfinityFlow?

Prompts & Results

Pros and Cons

Pros

View 16 more pros

Cons

View 5 more cons

Q&A

Search

Releases

Pricing

Featured alternatives

Related topics

Reviews

How would you rate InfinityFlow?

Prompts & Results

Pros and Cons

Pros

View 16 more pros

Cons

View 5 more cons

Q&A

Help

People also viewed

Feedback and Incident Report

AI Options