Tutorials for PandasAI
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Updated
May 20, 2024 - Jupyter Notebook
Tutorials for PandasAI
OpenAI document chatbot using llama-index, pinecone and chainlit. With incremental features, giving you the tools to go from a basic RAG into an advanced one.
GPT 4 Turbo Vision with Chainlit
This sample shows how to create two AKS-hosted chat applications that use OpenAI, LangChain, ChromaDB, and Chainlit using Python and deploy them to an AKS environment built in Terraform.
OpenAI functions + Chainlit + Streaming responses. Chain multiple functions in one query.
Local character AI chatbot with chroma vector store memory and some scripts to process documents for Chroma
End to End Generative AI Industry Projects on LLM Models with Deployment
RAG-nificent is a state-of-the-art framework leveraging Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs containing information on any given topic. Supports Llama3 and OpenAI Models via the Groq API.
A Data analysis agent powered by llm for querying database and visualizing results
A utility to chat with documents
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