langchain-tools

There are 10 repositories under langchain-tools topic.

  • custom-tools

    Sayvai-io/custom-tools

    Custom tools for LangChain

    Language:Python9252

  • ScrapeGraphAI/langchain-scrapegraph

    ScrapeGraph client langchain integration

    Language:Python91

  • achalise/langchainapp

    FullStack LangChain application using SpringBoot, LangChain4J and React - integrate with internal data and api and upload internal documents for RAG

    Language:Java3100

  • arkapatra31/LangChain

    Implementing LangChain concepts and building meaningful stuffs

    Language:Python3210

  • leo-capvano/generative_ai_demos

    Generative AI demos, an example of a langchain based application that implements Retrieval-Augmented-Generation for an enhanced generation. It uses OpenAI model and OpenAI function tool agent. Able to run Ollama Mistral local LLM too.

    Language:Python2201

  • shaheennabi/Untold-LangGraph

    🎇 Untold-LangGraph: Exploring LangChain Agents ✨ This repository focuses on experimenting with and implementing LangChain and LangGraph agents. 🚀 Stay up-to-date with the latest LangChain documentation. 🌍✨ and push the boundaries of agent-based AI applications. 💡💬 I

    Language:Jupyter Notebook20

  • Harikishan-AI/Search-Engine-Gen-AI-App-using-LangChain

    This project is a search-powered AI chatbot built with Streamlit and LangChain, designed to retrieve information from multiple sources like Wikipedia, Arxiv, and DuckDuckGo. It leverages LangChain's agent framework and Groq API for real-time, intelligent responses.

    Language:Python1100

  • raphavtorres/langchain101

    learning to use LangChain with OpenAI

    Language:Jupyter Notebook1

  • prernarohra/Tech-Research-Agent

    This Tech Research Agent will help you research about any topic related to technology, whether it's old news or latest, my tech agent has you covered.

    Language:Python01

  • SamJoeSilvano/Multi-Source-Knowledge-Retrieval-System

    An end-to-end multi-source knowledge retrieval system using LangChain, FAISS, and OpenAI embeddings. This Retrieval-Augmented Generation (RAG) pipeline intelligently searches across Wikipedia, arXiv, and custom websites, optimizing source selection and delivering precise, real-time results based on query relevance.

    Language:Jupyter Notebook