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 template to run Lanchain Powered App using Chainlit Front UI

Introduction to LLM App Development Workshop: PDF Q&A App using OpenAI, Langchain, and 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.

A Data analysis agent powered by llm for querying database and visualizing results

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

OpenAI functions + Chainlit + Streaming responses. Chain multiple functions in one query.

Chainlit app to chat with different data - TXTs, PDFs, etc...

A seamless integration of Chainlit with LangGraph. Ideal for fast prototyping multi-LLM chatbot or AI agents.

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

A template app to build & deploy PandasAI app to make your csv files conversational

Your command-line, context-aware chatbot for instant codebase insights & more ✨

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.

A simple Chainlit app for generative question-answering with LangChain and OpenAI.

RAG chatbot using Llama 2, chainlit and Faiss