Practical course about Large Language Models.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
Learn how to diagnose and apply different retrieval methods for different purposes with Pinecone.
chm to markdown and vectorDB
The notebooks & projects code for Generative for Backend Dev online bootcamp
完整的RAG技术教程 - 从基础概念到生产部署，系统化掌握检索增强生成技术。包含4个模块、20章内容、17个Jupyter Notebooks、6个企业级实战案例
Repository containing practical exercises and notebooks focused on AI application development and experimentation.
Notes and guides on building LLM applications: LangChain / LangGraph / LangSmith and vector databases, with runnable examples and diagrams
AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings
Upload a PDF or TXT and chat with it. A full-stack RAG app that grounds every answer in your document with source citations
Machine Learning, LLM and other Jupyter Notebooks and resources
Interactive 3D vector visualization for Python notebooks.
Transform your documents into interactive knowledge bases with AI-powered chat, notes, and multimedia content generation.
A website where you can upload dfferent type of content like texts, websites, youtube videos and pdf files. And after uploading can chat with all the knowledge base you have uploaded.
This is another repo that collect different approrach to apply Search with products and integration using 3rd Party vendors Vs Vainilla
AI Engineering on Couchbase. Building AI and Agentic Apps with Foundation Models. Downloadable Book, Notebooks and Example Applications.
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