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

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

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.

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.

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

Local character AI chatbot with chroma vector store memory and some scripts to process documents for Chroma

GPT 4 Turbo Vision with Chainlit

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

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

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 ✨

Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language models from Amazon Bedrock.

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.

An innovative application designed to help pharmacists and pharmacy students quickly research FDA-approved drugs by retrieving relevant information from drug labels and adverse event datasets, and providing AI-generated summaries to streamline the learning process