Mirascope/chamois
The standardized interface for information retrieval
This tool helps developers who are building applications that need to understand and process text efficiently. It takes plain text, like paragraphs or documents, and converts it into numerical representations called embeddings using various AI models. These embeddings can then be used in systems for search, recommendation, or other forms of intelligent information retrieval.
No commits in the last 6 months.
Use this if you are a developer looking to integrate text embedding capabilities from different AI providers into your application with a consistent interface.
Not ideal if you are an end-user without programming skills; this is a developer tool for building other applications.
Stars
10
Forks
—
Language
Python
License
MIT
Category
Last pushed
Apr 07, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/Mirascope/chamois"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
JGalego/RAGmap
A simple Streamlit application to visualize document chunks and queries in embedding space 🗺️🔍
noi-techpark/stuart-chatbot
Stuart is simple RAG System, that the Open Data Hub uses as a chatbot to help the Open Data Hub...
lycoai/ducky-cookbook
Examples and guides for using the Ducky.ai API
ManiAm/RAG-Search
RAG-Search is a web-based chat interface that combines LLMs with document-aware retrieval for...
arsath-eng/RAG1-NVIDIA-GENAI
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and...