298 results for “topic:chainlit”
🥤 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
Tutorials for PandasAI
Collection of impressive LLM apps with a focus on the financial sector
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
A seamless integration of Chainlit with LangGraph. Ideal for fast prototyping multi-LLM chatbot or AI agents.
A Data analysis agent powered by llm for querying database and visualizing results
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.
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.
Chainlit application built using AWS CDK, secured with Amazon Cognito, that allows you to interact with Anthropic's Claude language models from Amazon Bedrock.
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.
GPT 4 Turbo Vision with Chainlit
No description provided.
Chainlit app to chat with different data - TXTs, PDFs, etc...
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
VERITAS OS is an auditable decision infrastructure for LLM agents. Each decision runs through a deterministic pipeline: Evidence → Critique → Debate → Plan → FUJI safety gate → ValueCore → TrustLog. Designed to make AI decisions reviewable, traceable, and accountable inside real organizational workflows.
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 ✨
Multimodal AI Assistant is an advanced chatbot designed for local interactions with LLMs, files, and multimodal functionalities. Built on the Chainlit framework, it integrates Langchain and ChatOllama for hosting models locally, with cloud storage and monitoring via LiteralAI.
Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.
End-to-end example of a multi-agent chatbot with search and authentication capabilities built using Chainlit and Workflow's LlamaIndex..
Multi-agent solution on Azure Container Apps with Google Agent2Agent
RAG chatbot using Llama 2, chainlit and Faiss
Built with Gemini API, LangChain, Chainlit, and Python, this multimodal assistant explores AI tool integration driven by curiosity about multimodal capabilities. It demonstrates modern AI development by combining cutting-edge multimodal AI with practical user interface design.
Create a chatbot in less than 2 minutes with MLX Server, Chainlit and Llama3
A simple Chainlit app for generative question-answering with LangChain and OpenAI.