Practical step-by-step LangChain guides
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Updated
Apr 9, 2024 - Jupyter Notebook
Practical step-by-step LangChain guides
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.
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.
This repository hosts a Jupyter notebook that demonstrates the seamless integration of the Bard API with the LangChain library. By leveraging the capabilities of both platforms, we've crafted a custom Language Learning Model (LLM) that allows users to harness the power of Bard within the LangChain ecosystem.
Agentic RAG with LangChain and Pinecone
A Multi-modal chatbot with LangChain, that supports RAG, Paperswithcode, and Image generation using Dall-E-3
LanchainLLM
FastAPI application with streaming Langchain agents and Tavily search tool
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.
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.
Use a RAG Langchain agent that connects to your supermarket's inventory database and get information about product stocks and locations.
A repository for final project of NLP Bootcamp at Indonesia AI
A foundation for building conversational AI applications that leverage OpenAI's API and the langchain library for seamless interaction with users.
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.
A flask-based app using OpenAI API , Langchain and SQLAlchemy to query a SQL-based database from natural language.
This Project Contains Gemini Based RAG Application for Better Interaction and Insights on Online Data
A detailed notebook tutorial about LangChain Chains, Memory, Agents, Models, and Prompts.
Chatbot that provides information to tourists using GenAI
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