README.md

RAG use-case implementation using Llamaindex

Supercharge your RAG pipeline with the following:

• Framework -> Llamaindex
• Loader -> SimpleDirectoryLoader
• Chunking -> Semantic Chunking
• Embeddings -> Gemini Embeddings
• Reranking -> Cohere Rerank Model
• LLM -> Groq Mistral

For index creation follow notebook file rag.ipynb

To run application:

pip install -r requirements.txt 
chainlit run app.py