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145 repositories
local-llm-flutter-chat
Publicgroq-flutter-chat
Public- A comprehensive travel planning system built with Agent2Agent (A2A) protocol, featuring specialized AI agents for hotel booking, car rentals, currency conversion, and travel coordination.
- A Flutter application for experimenting with Google's Gemini AI, featuring multimodal chat capabilities with text and image inputs. Built with clean architecture using BLoC pattern, dependency injection, and environment configuration.
a2a-movie-chatbot
PublicA smart movie chatbot built with the Agent-to-Agent (A2A) protocol and Google’s Genkit AI. It features real-time movie data, quote generation, and interactive chat via API and CLI. Ask ChatGPTextrawest_ocpi
Public- A scalable AI chatbot platform built with FastAPI and LangGraph, featuring multi-agent orchestration, multi-tenant vector storage, cross-chat memory, and voice call capabilities through LiveKit integration.
- A sophisticated AI-powered study companion chatbot that leverages advanced AI capabilities with vector store memory retention and Model Context Protocol (MCP) integration. This project combines modern technologies for both backend and frontend to deliver a seamless learning experience with both text and voice chat capabilities.
- A sophisticated healthcare chatbot that leverages advanced AI capabilities with memory retention to provide personalized medical information and assistance. This project combines modern technologies for both backend and frontend to deliver a seamless user experience.
- A TypeScript-based Ai agent with MCP integration. This project provides a unified interface to access financial market information and relevant news articles through MCP servers with tool calling.
livekit_voice_assistant
PublicLivekit voice assistant for integration with flutter- An intelligent healthcare assistant with memory capabilities, built using FastAPI, Chainlit, and mem0. This bot can remember patient information across conversations, providing personalized healthcare support.
- A voice assistant application developed with Flutter, leveraging the Vapi SDK for smooth voice interactions and a raw WebSocket implementation for tailored, custom solutions.
- Podcast Summary & Q&A App is project takes podcast episodes from the Podcast Index, converts the audio into text, summarizes the content, generates an image based on the summary, translates the summary into French, and allows users to ask questions about the episode. ElevenLabs, HuggingFace, Replicate services are used
- The LinkedIn Profile Search Assistant is a tool designed to streamline the process of finding the most relevant LinkedIn profiles based on company information provided through Google search results. This service automates the task of identifying and selecting the appropriate LinkedIn account, saving time and ensuring accuracy
ai-diagram-service
PublicThis Java Spring Boot service leverages TogetherAI's advanced models to convert image and text inputs into PlantUML diagramsai-video-chat-app
PublicThe AI Video Insights Assistant is a backend service that uses advanced AI orchestration to analyze YouTube video content and accurately answer user questions. Built on LangChain4j or Spring AI, it leverages embeddings and similarity search for precise responses and includes fallback options for comprehensive coverage.ai-museum-app
PublicMuseo Insight is a virtual museum guide offering rich insights into artworks. Built with Java 21, Spring Boot 3.3.3, and LangChain4J, it integrates the MET Museum API for easy searches and image access. AI-driven descriptions reveal historical, cultural, and visual details, plus artist background and creation year for each piece.movies-ai-search-demo
PublicLangChain4j Neo4j Graph RAG - Movies Search Demo. An AI-powered movie database application built with Java 21, Spring Boot 3.3.3, and Neo4j. The app uses LangChain4j to enable natural language queries, providing personalized recommendations, interactive graph visualizations, and dynamic data exploration.- A collection of demonstrations showcasing different patterns for implementing multi-agent workflows using LangGraph. Each example highlights specific orchestration approaches to help developers understand and build collaborative AI systems.
- A self-reflective and adaptive RAG system that dynamically routes queries between web search and vector retrieval, assesses document relevance, checks for hallucinations, and ensures answer quality using a graph-based flow architecture.
- A showcase implementation demonstrating how to build an intelligent Q&A system using LangGraph and Neo4j Graph Database. This project combines the power of Large Language Models (LLMs) with graph database capabilities to answer questions about movie data.
- This application is a full-stack document indexing and retrieval system that allows users to upload documents, index their content, and perform natural language queries against the indexed documents. It utilizes LlamaIndex, OpenAI embeddings, and a modern React frontend to provide an interactive experience for semantic search and document retrieval
llamaindex_showcase
PublicThis repository contains a collection of demonstration projects showcasing various capabilities and applications of LlamaIndex, a powerful data framework for building LLM applications with custom data. Each tutorial focuses on a specific aspect of LlamaIndex functionality, ranging from basic usage to advanced features like RAG, chatbots, etc.advanced_rag_techniques
PublicThis repository contains a series of lessons demonstrating advanced Retrieval-Augmented Generation (RAG) techniques using LangChain. Each lesson focuses on a specific approach to improve retrieval quality and efficiency.- This repository contains a collection of scripts demonstrating advanced Retrieval-Augmented Generation (RAG) techniques using LlamaIndex and OpenAI. Each lesson focuses on a specific aspect of modern RAG systems, providing hands-on examples and evaluation methods and evaluation capabilities using TruLens
- This repository contains an intelligent web scraping solution that uses ScrapeGraphAI for LLM-powered content extraction and LangGraph for orchestrating the scraping workflow. The system can intelligently crawl websites, extract content using natural language instructions, and search for specific information.
- This repository contains an intelligent web scraping solution that uses Firecrawl for content extraction and LangGraph for orchestrating the scraping workflow. The system can automatically crawl websites, extract content, and search for specific keywords or information.
- A FastAPI-based backend service for a personal assistant voice agent integrated with Vapi AI. This project demonstrates how to build a structured API that handles todo lists, reminders, calendar events, and phone calls through voice commands processed by AI.