What is the primary use case for InfinityFlow?

It is primarily used as a backend database for Retrieval-Augmented Generation (RAG), similarity recommendations, and high-performance semantic search for AI applications.

Does it support full-text search alongside vector search?

Yes, InfinityFlow is designed for hybrid search, meaning it can simultaneously query full-text and vector indexes and fuse the results for better accuracy.

Is InfinityFlow open source?

Yes, it is available under the Apache-2.0 license and can be found on GitHub under the InfiniFlow organization.

How fast is the query performance?

InfinityFlow can achieve approximately 0.1 milliseconds query latency on million-scale vector datasets.

Which programming languages are supported for integration?

It currently features an intuitive Python SDK, making it easy to embed into Python-based AI workflows.

Nobody owns this listing yet

InfinityFlow is live in the directory, but no verified owner controls the page.

Claim this listing

Pick your launch day — Schedule a launch and compete for the daily #1 spot.
Win trophies you can embed — Rank top 3 on launch day and get an embeddable trophy.
“Featured on AI Kaptan” badge — Owner-only badge with your live upvote count.
Control what the page says — Edit copy, pricing, links and screenshots as the owner.

Unclaimed listings don't stay up forever. Listings left unclaimed are removed from the directory in periodic cleanups. When a listing goes, it goes everywhere — the tool page and every alternatives comparison it appears on, along with the rankings and backlinks that page had built up.

Verify with a work email on the domain (about 2 minutes), then a one-time $5 listing fee. See everything you get

Data management

Free

InfinityFlow

An AI-native database for LLM apps providing ultra-fast hybrid search across dense/sparse vectors and full-text with millisecond latency.

Visit WebsiteView Alternatives

—

Rating

Reviews

Upvotes

3 months ago

Listed

Data management

Vector Database

Hybrid Search

RAG

LLM Infrastructure

AI Database

Full-Text Search

Machine Learning

Knowledge Retrieval

Tool information

Provider

InfiniFlow

Platforms

Web

Linux

Docker

Languages

English

API Available

Yes

Added to directory

3 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Free

About InfinityFlow

What the tool does and who it's for

InfinityFlow (also known as Infinity) is an AI-native database designed specifically for LLM applications. It provides incredibly fast hybrid search capabilities across dense embeddings, sparse embeddings, tensors (multi-vector), and full-text data. Built to handle million-scale datasets with sub-millisecond query latency, it solves the performance bottlenecks of traditional databases in AI workloads. Its architecture supports several types of rerankers including RRF (Reciprocal Rank Fusion) and ColBERT, ensuring high relevance for RAG (Retrieval-Augmented Generation), recommendation systems, and conversational AI.

Key capabilities

High-performance hybrid search combining dense, sparse, and full-text retrieval.

Sub-millisecond query latency (0.1ms) on million-scale vector datasets.

Support for multi-vector (tensor) search and ColBERT reranking.

Single-binary architecture for easy deployment and minimal dependencies.

Native Python SDK for seamless integration into AI application workflows.

Advanced fusion algorithms like Reciprocal Rank Fusion (RRF) for optimized ranking.

Support for a wide range of data types including strings, numerics, and vectors.

High throughput achieving up to 15K+ QPS on large-scale datasets.

Pricing

Free — plans below

Open Source

Reviews

Be the first to review InfinityFlow

No reviews yet

Be the first to share your experience with InfinityFlow.

Featured Tools

Handpicked by our team of experts

Suggest an Update

Found outdated information? Help us keep this listing accurate.

FAQ

InfinityFlow FAQs

Common questions about InfinityFlow