Practical course about Large Language Models.
-
Updated
Jan 18, 2025 - Jupyter Notebook
Practical course about Large Language Models.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings
Machine Learning, LLM and other Jupyter Notebooks and resources
Jupyter notebooks for the short course "Building applications with vector databases"
An AI-powered query system integrating Google Gemini, Hugging Face embeddings, ChromaDB, MySQL, and LangChain to transform natural language into precise SQL queries. Currently implemented in a notebook environment for experimentation.
Add a description, image, and links to the vector-database topic page so that developers can more easily learn about it.
To associate your repository with the vector-database topic, visit your repo's landing page and select "manage topics."