Notebooks & Example Apps for Search & AI Applications with Elasticsearch

GenAI Playground

Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.

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

A collection of Python notebooks with tutorials for the LangChain Library.

📁 This repository hosts a growing collection of AI blueprint projects that run end-to-end using Jupyter notebooks, MLflow deployments, and Streamlit web apps.🛠️ All projects are built using HP AI Studio with ❤️ If you find this useful, please don’t forget to star the repository ⭐ and support our work 🚀

This Git repository contains the source code and related files for a project focused on leveraging generative AI techniques for interactive data visualization. The repository includes the notebook, example dataset, and the configuration file necessary to implement a simple interactive data visualization tool using OpenAI API.

Some jupyter notebook projects about generative ai

This repository includes a variety of notebooks designed for tasks ranging from generative ai text models to image generation and model training to data analysis and visualization.

This repository contains notebooks and programs on langchain.

Welcome to SriksML – a comprehensive repository of hands-on, production-inspired Jupyter notebooks and code samples for modern machine learning, deep learning, and AI workflows.

A Concise Notebook to Summarize Your iMessage Conversations

QA With Jupyter NoteBook(.ipynb) powered by LangChain & Anthropic

Comprehensive LangChain Guide: Modular notebooks with detailed docs for Agents, RAG, Tools, Retrievers, Prompts, Chains, and more.

A comprehensive collection of Jupyter notebooks for learning, exploring, and experimenting with LangChain and LangGraph concepts, workflows, and practical applications.

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.

For the purposes of familiarization and learning. Consists of utilizing LangChain framework, LangSmith for tracing, OpenAI LLM models, Pinecone serverless vectorDB using Jupyter Notebook and Python.

LangChainをとりあえず使ってみるためにJupyter notebookとVSCocdeの環境を整える。