End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
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Updated
Sep 9, 2024
End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
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.
A Data analysis agent powered by llm for querying database and visualizing results
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.
GPT 4 Turbo Vision with Chainlit
Llama2-Medical-Chatbot is a medical chatbot that uses the Llama-2-7B-Chat-GGML model and the pdf The Gale Encyclopedia of Medicine, Volume 1, 2nd Edition. It is still under development, but it has the potential to be a valuable tool for patients, healthcare professionals, and researchers.
Local character AI chatbot with chroma vector store memory and some scripts to process documents for Chroma
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
OpenAI functions + Chainlit + Streaming responses. Chain multiple functions in one query.
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 Llama3.1 and OpenAI Models via the Groq API.
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