@chroma-core/openai

What it is

Provides OpenAI embeddings to integrate with the Chroma vector database, enabling efficient similarity searches and AI-driven data retrieval.

Provides a specialized integration between OpenAI's embeddings and Chroma, offering developers an efficient way to leverage AI-driven similarity searches directly within their vector database ecosystem.

When it fits — and when it doesn’t

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 Python and JavaScript

   Primary development focuses on Python, with secondary support for JavaScript; other languages are not officially supported

2. 02

   Performance bottlenecks when handling large-scale embeddings

   Processing and indexing large datasets can lead to increased latency and resource consumption

What it does well

• Integration with OpenAI embeddings for advanced similarity searches

• Seamless integration into Chroma vector database ecosystem

• Efficient data retrieval and indexing capabilities

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.