lancedb/vectordb-recipes

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.

Everything you need to know to build your own RAG application

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

A collection of projects showcasing RAG, agents, workflows, and other AI use cases

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.