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AI & ML
RAGformation by RAGformation
Tailored cloud solutions based on use case, cost, and preferences using natural language with Agentic AI to research, design, price, diagram, and report an optimized result. Maintained by RAGformation on GitHub, where it has earned 36 stars from the community.
Install
pip install ragformationLatest versions
v0.1.0-hackathon↗More LlamaIndex projects
AI & ML
A collection of LlamaIndex Workflows-powered agents that convert natural language to Cypher queries designed to retrieve information from a Neo4j database to answer the question with included benchmark data. Maintained by tomasonjo-labs on GitHub, where it has earned 103 stars from the community.
T
1y agoAI & ML
Build a RAG preprocessing pipeline. Maintained by Clearedge-AI on GitHub, where it has earned 12 stars from the community.
C
2y agoAI & ML
A RAG system is just the beginning of harnessing the power of LLM. The next step is creating an intelligent Agent. In Agentic RAG the Agent makes use of available tools, strategies and LLM to generate response in a specialized way. Unlike a simple RAG, an Agent can dynamically choose between tools, routing strategy, etc. Maintained by swastikmaiti on GitHub, where it has earned 14 stars from the community.
S
2y ago