Helvia/rag-buddy
RAG-Buddy: Decrease cost and lower latency for LLM apps
RAG-Buddy helps developers build more efficient and cost-effective applications that use Large Language Models (LLMs) to answer questions from a knowledge base. It takes an existing RAG system and improves its performance, security, and reliability. This is for software developers and engineers who are building LLM-powered applications.
No commits in the last 6 months.
Use this if you are a developer looking to enhance the performance, reduce costs, and improve the reliability of your existing RAG-powered LLM applications.
Not ideal if you are an end-user of an LLM application and not involved in its development, or if you are looking for a standalone LLM solution rather than an enhancement for RAG.
Stars
28
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
May 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Helvia/rag-buddy"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
OpenBMB/UltraRAG
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Quansight/ragna
RAG orchestration framework ⛵️
microsoft/rag-time
RAG Time: A 5-week Learning Journey to Mastering RAG
AnkitNayak-eth/EpsteinFiles-RAG
A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
apify/apify-haystack
The official integration for Apify and Haystack 2.0