william-ai-dev/Seed-Oil-Meta-Engine

Seed Oils RAG Application

A Chainlit-based RAG (Retrieval-Augmented Generation) application for analyzing peer-reviewed research on seed oils and related topics.

Features

• —Technical Analysis with Citations: Access peer-reviewed research with proper citations
• —Router-based Retrieval: Intelligent query routing for different types of analysis
• —Streaming Responses: Real-time streaming with rate limiting and error handling
• —Professional UI: Clean, professional interface powered by Chainlit

Environment Variables

• —PINECONE_API_KEY: Pinecone API key for vector store access
• —GROQ_API_KEY: Groq API key for LLM access
• —LLAMA_CLOUD_API_KEY: Llama Cloud API key (if using cloud services)

Usage

1. 1.Start a chat session
2. 2.Ask questions about seed oils, nutrition, or related biological topics
3. 3.Receive evidence-based responses with proper citations
4. 4.Each response includes source links for verification

Studies Included

The application includes analysis of 25+ peer-reviewed studies covering:

• —Obesity and linoleic acid research
• —Alzheimer's disease correlations
• —Animal growth studies
• —PUFA dietary patterns
• —Biochemical pathway analysis