Python agents

GPT pose image generator to condition SD models with ControlNet OpenPose

A Multi-Modal Agentic RAG pipeline designed to handle unstructured documents containing tables, charts, and images. It integrates Docling and ElasticSearch for structured indexing, and leverages LangGraph for agent-based reasoning and dynamic query reformulation.

Agent framework written in rust and built for Rust/Python

Assistente per le Forze dell'Ordine

FastAPI application with streaming Langchain agents and Tavily search tool

In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.

reACT agent for pandas using LLAMA3-70B—built with LangChain.

MCP is an open protocol that standardizes how applications provide context to large language models (LLMs)

A tool that generates an audio short story based on the context of an uploaded image by prompting a GenAI LLM model

Create examples for making Python web development to start easy.

An LLM based food recognizer web app which tell about details about food preset in image, calculates calories, fats etc

一个 NcatBot 的插件，实现大模型对话、图像识别，拥有持续对话、记忆能力

This repository contains the application of our Oral Detection project, built for the LabLab AI Hackathon. It provides the user interface for interacting with our AI-powered solution.

Experimental AI system for financial applications

Travel Adviser project utilizing GPT4All, LangChain and Neo4j for intelligent vacation planning, managing and analyzing travel data to provide personalized recommendations and itineraries.

LLM Tool for effective test evaluation of ML projects with curated Checklists and LLM prompts

LLM POCs

Agent Supervisor Architecture using LangChain and LangGraph

Multi-agent AI research assistant coordinating specialized agents with LangGraph. Leverages multiple research tools (Wikipedia, arXiv, etc ) with full LangSmith tracing for transparent reasoning. Delivers comprehensive scholarly answers through Groq-powered agents working in an orchestrated workflow, through a user-friendly Streamlit interface.

LangGraph checkpoint saver backed by Typesense. Drop-in BaseCheckpointSaver implementation for Python and TypeScript — blazingly fast, in-memory checkpoint retrieval with automatic schema setup.

Voice Assistant for FM-Clinic: A multilingual AI-powered voice assistant for booking doctor appointments, leveraging advanced speech-to-text, text-to-speech, and large language models for seamless, natural user interactions.

A RAG back and front end application

Pinecone Hackathon 2023: Codextranauts Team Repository.

ChatGPT for Pokemon

Tired of searching information in the Spanish Tax Agency website? So do I! HaciendaGPT is you new friend!

Chat with Sql Server using google gemini generative ai

A modern chat interface application that connects to Ollama LLM models, built with Flet framework.

AI chat app to response data in Markdown format with text and images. Tutorial from: https://youtu.be/qKtM2AlDTs8

REST API to generate summaries of news articles using a Large Language Model (LLM).

Learning and building LLM application using Langchain🦜🔗

Okahu demo chatboth with Langchain and OpenAI

📄 A template for project for creating a chainlit application, using a locally run model via ollama and qdrant vector database for document retrieval.

Enterprise LangChain platform with multi-agent collaboration, advanced RAG, local LLM support, and modern web interface. Production-ready AI orchestration for research, coding, and data analysis.

Chat with your favourite LLMs

Adding InMemoryCaching, Ensemble Retrievers,langchain, faiss for a open domain chatbot

✨A gigachat-gigachain based AI research assistant💻📖

A self deployable LLM application with our innovational IC framework (a RAG method)

This is the backend of viewMo AI cloud platform. AI base graph generation engine, Agent base simulations, Protected endpoints with JWT token authentication and many more features included.

Unified multi-provider ChatModel manager for LangChain. Supports routing, rate limits, fallbacks, and structured output across multiple LLMs.

Based on ZhipuAI's GUI interaction, multi-AI collaboration, multi-method phone connection and screen casting, TTS voice broadcast, and multimodal content generation - a comprehensive intelligent agent tool

An experimental architecture for composing actions from simple learning agents to produce complex behavior.

In this tutorial we will see 💡 How to get answers from a YouTube video using Chroma vector database, PaLM LLM by Google, and a question answering chain from LangChain. And finally, use Streamlit to develop and host the web application. You will need to use your google_api_key (you can get one from Google).

a Streamlit app with a chat interface , graph visualization, RAG, logging and so much more

Google glass for the blind

This project implements a complete offline RAG-Fusion application for text generation and retrieval, leveraging efficient local resources.

《OpenAI API와 파이썬으로 나만의 챗GPT 만들기》 (2024년 4월 출간) 예제

Resources from AI Streams

Streamlit app leveraging OpenAI's LLM for accurate invoice extraction, supporting PDF files and offering JSON/CSV outputs.

Grimoire (gʀiˈmwaːʀ), a book (tool) of magical knowledge about your code and its dependencies.

This is a minimal demo project to show the capabilities of a Text2SQL system using LangChain, it contains all the things you required to build a basic RAG system. Using Chinook as the sample database.

An AI agent that helps recruiters find the most suitable candidates efficiently and effectively.

Learning and building LLM application using Langchain 🦜🔗 and Open AI

Agentic AI applications built with LangChain & Haystack — grounded, explainable, and production-ready.

Advanced local-first RAG system powered by Ollama and LangGraph. Optimized for high-performance sLLM orchestration featuring adaptive intent routing, semantic chunking, intelligent hybrid search (FAISS + BM25), and real-time thought streaming. Includes integrated PDF analysis and secure vector caching.

A modular AI framework that lets you stitch together models and tools into an assistant that fits you perfectly.

Interactive YouTube Q&A and Summarization

Tutorial showing how to do RAG evals with Parea AI and LangChain

Local LLM infrastructure for distributed AI applications. Serve Ollama-powered models across your network

Track, visualize, and optimize LLM API spending. Monitor OpenAI & Anthropic costs per feature, detect waste, suggest savings. Zero-config Python profiler.

This repository contains an end-to-end Retrieval-Augmented Generation (RAG) system that leverages Deepseek and Ollama to provide intelligent responses based on any pdf content.

A curated list of resources, tools, examples, and projects using LangChain.

A Retrieval-Augmented Generation (RAG) system using Milvus and LangChain

useful utilities for prompt engineering (independent with @promplate)

Langchain Agent that can interact with a desktop environment in a secure container.

RAG-Complete-Cook-Book is a practical guide and code collection for building Retrieval-Augmented Generation (RAG) pipelines. It provides step-by-step Jupyter notebooks and Python scripts covering the entire RAG workflow.

🔀 One prompt in. The right model out. Open-source LLM router with 100% routing accuracy, 47+ providers. Budget enforcement, semantic cache, intelligent failover. Zero ML, 19.5KB. MIT.

RAG technique for QA tasks with PDF, website and video, leveraging LLMs and the OpenAI API for interactive applications

The RAG LLM ChatBot leverages Langchain to provide a robust and flexible framework for building intelligent chatbots. It combines the power of retrieval-augmented generation (RAG) with large language models (LLMs) to deliver precise and context-aware responses.

Welcome to GenAI_DayZero, a hands-on journey into Generative AI and Large Language Models (LLMs). This repository showcases my learning and experiments, from zero knowledge to advanced AI tools. I’ll be sharing code, insights, and resources to explore the exciting possibilities of GenAI. Let’s learn and build together!

A fully local RAG system using Ollama and a vector database. Private, fast, extensible.

RAG система, которая предоставляет точные и обоснованные ответы на юридические вопросы, основываясь на актуальном российском законодательстве.

Document Responder - Multi Agent AI - Powered By OpenSource LLM (Llama3 - 8b)

Browse memories, query context, and run AI agent workflows directly from VS Code.

Discover knowledge with ease using - AzureOpenAI, Chroma, and Langchain. This solution generates a knowledge base from a given URL and efficiently responds to queries, streamlining the information discovery process.

[DEPRECATED] CybertraceAI-Ops is an open-source AI agent designed to simplify network management through natural language interactions, focusing on network telemetry data analysis.

Community‑driven elixirs powering modular extensions for DHTI.

YouTube Video Summarizer

AI Assistant to interact with PDF documents and get instant answers. Built using Langchain and Gradio.

Real Estate chatbot with RAG using Neo4j, Langchain, Ollama, Phi3

Trainer AI is an LLM assistant agent with the goal of helping you workout more efficiently, and spend less time preparing workout sets, and analyzing data. You talk to it like a personal coach, and it records your efforts, and lays plans for you to reach your goals.

Building Private AI Memory with Ollama, LangChain & Chroma - 100% Local RAG System

A short python file showcasing how a speech-to-speech chatbot can be generated with only a few lines of code and an OpenAI API key.

GEERS AI 2023

Retrieval Augmented Generation Chatbot with Langchain 🦜🔗 and HuggingFace 🤗

Agentic workflow to search and find more details of an observability field.

Source code for Kagi Challenge

Prototype of Chatbot with Smart RAG Chain

Rasa LLM Community Challenge

This repository contains code for a Telegram bot that uses GPT-based language models to generate responses to user queries. It includes a Python script for creating a vector index based on a corpus of text files, and another script for running the Telegram bot. Users can add their own text files to the data folder and use the bot to generate respo

Implementing LangChain concepts and building meaningful stuffs

骆驼电影侦探社（服务端）

⚡ Handle Your Notion TODO board with LLMs ⚡

A Multi-modal chatbot with LangChain, that supports RAG, Paperswithcode, and Image generation using Dall-E-3

Agents Working for The Boring Education

Your Data as Knowledge Base + AI. ChatBot

An advanced AI-powered solution enhances network diagnostics by leveraging large language models (LLMs). It parses various logs to identify patterns and anomalies, providing actionable insights for diagnosing and resolving network issues efficiently. This simplifies analysis, enabling quicker and more accurate problem detection and resolution.

Streamlit app for Question Answering uploaded CSV using Retrieval-Augmented Generation

🔌🔄 Simple MCP Server Deployment

MailPad is a Python library that simplifies email sending and integrates with OpenAi's language models for generating email content.