Explores the implementation of a LangChain Agent using Azure Cosmos DB for MongoDB vCore to handle traveler inquiries and bookings. The project provides detailed instructions for setting up the environment and loading travel data, aiming to empower developers to integrate similar agents into their solutions.
It automatically describes images in PDF files and generates questions from these descriptions. With its advanced RAG structure, it directs these questions directly to PDF text content, providing comprehensive information extraction and analysis.
The personal assistance chatbot integrates appointment creation, Google Calendar event scheduling with Google Meet, and email notifications using the Langchain and Zapier NLA integration.
Use a RAG Langchain agent that connects to your supermarket's inventory database and get information about product stocks and locations.
FastAPI application with streaming Langchain agents and Tavily search tool
A Multi-modal chatbot with LangChain, that supports RAG, Paperswithcode, and Image generation using Dall-E-3
Welcome to our new Custom WebSearch Agent, now as an easy-to-use Streamlit app! No more sifting through loads of generic results. With this app, you get a search experience that's all about you. It's like having your own personal search assistant right at your fingertips.
Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools
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.
Use a Langchain GPT-agent to search the web with Tavily and answer the prompt including the target-URL.
This project focuses on building a system of autonomous agents powered by Large Language Models (LLMs) and LangChain. Each agent is designed to complete specific tasks using various tools, and the agents are decoupled from each other. The architecture follows an event-driven design.
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.
A simple application to query and interact with multiple CSVs.
LangChain is a framework designed to simplify the creation of applications using large language models. This repository contains experiments testing various LangChain components, integration patterns, and performance optimizations for different use cases.
Code-Agent is your knowledge transfer (KT) assistant to understand large codebases
This project demonstrates a LangChain-based chatbot that integrates with a database to perform tasks like checking order statuses, registering new orders, and querying product inventory.It uses function calling and memory management to create a seamless user experience.The chatbot interacts with users through a web interface
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.
Use a Langchain Wikipedia Agent that uses the LLMChain function that for a given input, first writes a short summary and then gives information about the physiological effects.
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