rag-wtf/open-text-embeddings
Open Source Text Embedding Models with OpenAI Compatible API
This project helps developers integrate open-source text embedding models into their applications. It takes plain text as input and generates numerical representations (embeddings) that capture the semantic meaning of the text. This allows developers to add capabilities like semantic search, recommendation systems, or text classification to their products using a familiar OpenAI API-compatible interface.
166 stars. No commits in the last 6 months.
Use this if you are a software developer building applications that need to process and understand text by converting it into numerical embeddings, and you want to use open-source models with an OpenAI-like API.
Not ideal if you are an end-user looking for a ready-to-use application; this is a developer tool requiring technical setup.
Stars
166
Forks
23
Language
Python
License
MIT
Category
Last pushed
Jul 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/rag-wtf/open-text-embeddings"
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