Custom tools for LangChain
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Updated
May 25, 2024 - Python
Custom tools for LangChain
ScrapeGraph client langchain integration
FullStack LangChain application using SpringBoot, LangChain4J and React - integrate with internal data and api and upload internal documents for RAG
Implementing LangChain concepts and building meaningful stuffs
🎇 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
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.
learning to use LangChain with OpenAI
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.
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.
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.
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