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langchain-tools

Here are 13 public repositories matching this topic...

ScrapeGraph client langchain integration

  • UpdatedFeb 22, 2025
  • Python
custom-tools

Custom tools for LangChain

  • UpdatedMay 25, 2024
  • Python

🎇 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

  • UpdatedNov 17, 2024
  • Jupyter Notebook

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

  • UpdatedJul 4, 2024
  • Java

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.

  • UpdatedMar 26, 2024
  • Python

Develop a FastAPI backend system that acts as a weather chatbot. The bot will leverage the LangChain SDK to enable AI-powered conversations.

  • UpdatedFeb 13, 2025
  • Python

learning to use LangChain with OpenAI

  • UpdatedJul 29, 2024
  • Jupyter Notebook

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.

  • UpdatedOct 11, 2024
  • Python

Multi-Modal Next.js Chat App with Vercel AI SDK & LangGraph.js

  • UpdatedMar 16, 2025
  • TypeScript

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.

  • UpdatedNov 11, 2024
  • Python

LinkedIn Scraper REST API for people, companies, jobs, posts and more data.

  • UpdatedDec 21, 2024

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.

  • UpdatedNov 3, 2024
  • Jupyter Notebook

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