Vector Databases

Infinity

AI-native database for fast vector and full-text search in LLM applications.

Status
Generally available
Last checked
Checked · Oct 11, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Infinity is an AI-native database built specifically for large language model applications, offering incredibly fast vector and full-text search capabilities. It's developed using C++20 to ensure high performance.

Infinity stands out as an AI-native database specifically optimized for vector and full-text search in LLM applications, leveraging C++20 for high performance.

When it fits — and when it doesn’t

A good fit for

  • Teams building LLM applications that require fast vector and full-text search capabilities

  • Projects needing high-performance databases optimized with C++20

  • Developers looking to integrate AI-native database solutions into their projects

Look elsewhere if

  • Applications requiring real-time streaming data processing (batch-only architecture)

  • Projects with strict budget constraints as it requires self-hosting and potentially significant setup costs

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond C++ and Python

    Primary development in C++20, official SDKs only for Python and community-maintained TypeScript

  2. 02

    Expensive at scale due to resource-intensive operations

    High-performance vector search requires significant computational resources which can increase costs

What it does well

  • High-performance vector and full-text search for LLM applications

  • Developed using C++20 for optimized performance

  • AI-native architecture designed specifically for large language models

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Infinity

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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