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🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
Adaptive Agentic AI Reasoning That Empower, Inform, and Integrate Seamlessly. Join the Discord for suggestion or support ! https://discord.gg/ebgy7gtZHK
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
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.
Курс "Разработка AI/LLM-приложений на Python: от идеи до релиза" предоставляет слушателям возможность пройти через полный цикл создания LLM-приложений, от идеи до релиза. В рамках курса вы познакомитесь с передовыми технологиями и инструментами, такими как Mistral AI API, LangChain, Arize Phoenix, FastAPI, PostgreSQL и Docker и т.д
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 application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language models from Amazon Bedrock.
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