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

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 math application/chatbot to answer a user's arithmetic or reasoning based questions. Utilizes LangChain agents and tools. Frontend with Chainlit.

This is an implementation of a custom chatbot using LangChain, OpenAI and Chainlit. This chatbot is also integrated with an external API hosted in Flask

Simple HR Chatbot for Onepoint using Chainlit

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.

Repository contains sample chatbot application built using SQL database in Microsoft Fabric as a vector store and search, Langchain and Chainlit for interacting with LLM and providing a chat interface.

Agentic chatbot built using a chainlit interface

Ollama with RAG and Chainlit is a chatbot project leveraging Ollama, RAG, and Chainlit. It uses Chromadb for vector storage, gpt4all for text embeddings, and includes a fine-tuning and evaluation module for language models.

A Chainlit-powered multimodal PDF chatbot utilizing the ColQwen2-v1.0 visual retriever and Qwen2-VL-2B-Instruct model for efficient document retrieval and question answering.

End-to-end example of a multi-agent chatbot with search and authentication capabilities built using Chainlit and Workflow's LlamaIndex..

RAG chatbot using Llama 2, chainlit and Faiss

Create a chatbot in less than 2 minutes with MLX Server, Chainlit and Llama3

No description available

This project is try to develop a chatbot with langchain, chainlit and build a MCP client to adapt MCP tools

A multi modal RAG chatbot using Vertex AI SDK, Gemini, Langchain and Chainlit

This is a Converational RAG chatbot base on LangChain, AzureOpenAI, FAISS and Chainlit to retrieve WiX5 project migration knowledge

This is a Web Application made using chainlit. It uses FastAPI for hosting to allow deployment in production, LiteLLM to use a single code to use Any type of LLM (Open + Closed Source). A customized File handler for PDF/Docx/Pptx/Xlsx/Csv/Plain Text/Images and Coding Files

An interactive AI chatbot powered by Chainlit and Gemini-1.5, featuring secure login (OAuth + password), predefined prompts, and a clean UI with online icons — perfect for dynamic conversational experiences.

AI Assistant with Chainlit Interface A multi-functional AI chatbot built with Chainlit, supporting tools like weather updates, news, jokes, currency exchange, and intelligent agents for writing, email generation, prompt egineering and translation. Users can switch between LLMs like Gemini, Llama, and Exaone, with interactive UI and chat history

Chatbot using Llama2 model, Langchain and Chainlit to make a LLM review pdf documents.

Medical Chatbot using Chainlit & Langchain

Advance chatbot using chainlit added github athentication using auth , sdk openai. This chat bot saves/remember your history

The deployment of Chainlit LLM chatbot on Slack.

A conversational Retrieval Augmented Generation (RAG) chatbot built with LangChain, Chainlit, and the Claude API for question-answering from documents.

Chainlit Chatbot is a Python script that leverages the Chainlit library for building a chatbot. The chatbot includes a language selection feature and utilizes the Hugging Face model for generating responses. Additionally, it integrates language translation using the Translate library.

No description available

No description available

An AI Chatbot using Chainlit and the OpenAI SDK is an interactive application that connects OpenAI’s language models with a user-friendly Chainlit interface. It works by receiving user input, sending it to the OpenAI API for processing, and instantly displaying the model’s intelligent response in a conversational UI.

This project is a lightweight conversational AI chatbot that runs entirely on your local machine using Hugging Face Transformers and Chainlit. It loads a small language model (like facebook/opt-350m) for generating responses and provides a real-time chat interface in the browser.