Sample agent using Knowledge Graph libraries, Part of the Vital A.I. Agent Ecosystem.

Text processing pipeline orchestrated by LangGraph

This repository contains projects of LLM Agents that empowers users to efficiently construct large language model (LLM)-based agents. Whether you’re diving into the world of AI chatbots, text generation, or natural language understanding, this repo provides the tools you need. 🚀

Experiment with RAG using Langchain, LangGraph, OpenAI, HuggingFace and Mistral to create a RAG that is able to analyse PDF from the Enedis documentation website, and answer question about it. Ongoing project

A ready-to-go Python dev environment for LLM projects. Leverages devcontainers in VSCode for virtual environments. Sample LangChain and LangGraph code using OpenAI.

This project involves the development of a multi-AI agent web application that leverages Retrieval-Augmented Generation (RAG) and Agent technologies. The application is designed to provide users with an interactive platform for asking questions related to agents, prompt engineering, and adversarial attacks.

Investigating the efficacy of Retrieval-Augmented Generation (RAG) and Corrective Retrieval-Augmented Generation (CRAG) in harnessing external knowledge to improve AI model performance and output quality.

Tutorial Repository from LangChain Academy.

PaperBreeze is a RAG based chatbot for simplifying research paper for young enthusiasts

Summarizes content from YouTube videos, books, and web pages, generating visual diagrams using Mermaid.

Our AI-driven project empowers activists and leaders by leveraging data to uncover trends and generate actionable recommendations for gender-responsive climate action. A Q&A chatbot provides access to policy documents, while collaboration occurs through our community hub, supported by a comprehensive dashboard for Impact Point Monitoring.

TalkYou is an innovative open-source project designed to enable users to have a chat with any YouTube video. It brings you a customized chatbot experience, not only with the ability to chat but also with an amazing feature of image retrieval based on your queries.

A RAG based chatbot using local llm, specially Olloma. The chatbot can go in internet via DuckduckGo to search relevant context to answer a given question for which no relevant context has been found in the vectors store. One use LangGraph for assessing the relevancy of a given llm answer.

Full-stack artificial intelligence project with both backend (Langchain, Langgraph) and frontend (C# Blazor) components

Customer Support Bot using Langgraph

This is a sample project of multi-agent collaboration implemented based on the LangGraph framework.