langchain-python

A full-stack application that turns any documents into an intelligent chatbot with a sleek UI and easier way to manage your workspaces.

⛓️ Serving LangChain apps automagically with FastApi

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

Building Apps with LLMs

Deploy LangChain Agents and connect them to Telegram

Graphsignal Python tracer

A dynamic, scalable AI chatbot built with Django REST framework, supporting custom training from PDFs, documents, websites, and YouTube videos. Leveraging OpenAI's GPT-3.5, Pinecone, FAISS, and Celery for seamless integration and performance.

Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone

Integrating Neo4j database into langchain ecosystem

Examples on how to use LangChain and Ray

A Personalised AI Assistant Inspired by 'Diamond Age, Powered by SMS

Create AI-Generated Video Tutorials with Character Animation and Slides!

Memory 🧠 to your Personal ChatBot 🤖| LangChainAI and Databutton

A Jupyter python notebook to Execute Zapier Tasks with GPT completion via Langchain

This code provides a gpt agent that can automatically execute several basic steps of the lean startup approach for business model developmet

This chatbot lets you use your microphone to communicate with GPT-4. It uses the Windows TTS to respond with a voice. It uses Pinecone to store long term information and retrieves it to create context. API keys for OpenAI and Pinecone required. Tested on Windows

Convert the given plain text to MySQL query by ChatGPT

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

Python client library for managing your LLM data in one place