AI directory search

Search across educators, skills, and resources.

Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.

74 matches for "rag"

Video matches

Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.

LangGraph introduction video thumbnail

LangGraph introduction

LangChain · agents, langgraph, llm orchestration, rag

RAG and LlamaIndex video thumbnail

RAG and LlamaIndex

LlamaIndex · rag, documents, agents, context augmentation

Vector search and Weaviate video thumbnail

Vector search and Weaviate

Weaviate · vector search, rag, embeddings, hybrid search

Pinecone semantic search video thumbnail

Pinecone semantic search

Pinecone · vector databases, rag, embeddings, search

AI evals with Phoenix video thumbnail

AI evals with Phoenix

Arize AI · evals, observability, tracing, rag debugging

Educators

Andrew Ng profile photo

Andrew Ng

DeepLearning.AI Short Courses · Beginner to advanced

Structured, practical courses from prompt engineering through agentic workflows.

Skills

Prompting, Agents, RAG, ML foundations

Jason Liu profile photo

Jason Liu

Instructor · Intermediate

Practical patterns for getting reliable structured data from LLMs.

Skills

Structured outputs, Extraction, RAG

Hamel Husain profile photo

Hamel Husain

Hamel's AI evals guides · Intermediate to advanced

Very practical material on evaluating LLM apps before they disappoint users.

Skills

Evals, RAG, LLM product quality

Paul Caruana profile photo

Paul Caruana

AI Automation Mastermind · Beginner to intermediate

A small-business oriented community for learning AI and automation as operational leverage.

Skills

AI automation, Operations, Efficiency, Small business workflows

AI Operators Club profile photo

AI Operators Club

AI Operators Club · Beginner to intermediate

Community for people who want to leverage AI and build practical things that work in operating businesses.

Skills

AI operations, Claude, GoHighLevel, Automation, Business systems

Vianney Wilson profile photo

Vianney Wilson

AI Systemizers · Beginner to intermediate

Business-owner community for using AI, automation, and systems to increase revenue without adding operational drag.

Skills

Business systems, AI automation, Sales systems, Founder freedom

Jeremy Caplan profile photo

Jeremy Caplan

Wonder Tools · Beginner to intermediate

Practical tool education for non-technical knowledge workers, with useful AI coverage and workflow context.

Skills

AI tools, Productivity, Creative workflows, Teaching

Wes Roth profile photo

Wes Roth

Wes Roth AI news · Beginner to intermediate

Accessible AI news and tool coverage for people tracking the AI landscape without reading technical papers.

Skills

AI news, Tool discovery, AI strategy, Model awareness

Michael Stelzner profile photo

Michael Stelzner

Social Media Examiner · Beginner to intermediate

Useful AI marketing coverage for non-technical social media and small business marketers.

Skills

AI social media, Marketing strategy, Content workflows, Adoption

Cole Medin profile photo

Cole Medin

Cole Medin AI agents and local AI · Beginner to intermediate

Consistently practical agent, RAG, local AI, and automation teaching with a strong bias toward workflows you can actually reproduce.

Skills

AI agents, RAG, Local AI, n8n, Claude Code

Mervin Praison profile photo

Mervin Praison

PraisonAI · Intermediate

A practical open-source builder path for learners who want agent patterns, examples, and tool integrations they can inspect directly.

Skills

AI agents, Multi-agent workflows, MCP, RAG, Open source

Jerry Liu profile photo

Jerry Liu

LlamaIndex · Intermediate

Strong practical material for connecting LLMs to private data, documents, retrieval, and workflows.

Skills

RAG, Agents, Document workflows, Context augmentation

Ben Lorica profile photo

Ben Lorica

The Data Exchange · Intermediate

Good practitioner interviews across data, ML, and AI engineering.

Skills

Data systems, ML engineering, AI trends

Greg Kamradt profile photo

Greg Kamradt

Data Independent AI tutorials · Beginner to intermediate

Practical walkthroughs for retrieval, LLM application patterns, and common developer questions.

Skills

RAG, LLM apps, Prompting, Evaluation

James Briggs profile photo

James Briggs

James Briggs AI tutorials · Beginner to intermediate

Useful practical explanations of embeddings, retrieval, LangChain, Pinecone, and agent workflows.

Skills

Vector search, RAG, Agents, Embeddings

Connor Shorten profile photo

Connor Shorten

Weaviate education videos · Beginner to intermediate

Good interviews and tutorials around vector databases, retrieval systems, and AI app patterns.

Skills

Vector search, RAG, Hybrid search, Agents

Providers and platforms

LangChain profile photo

LangChain

LangChain Academy · Intermediate

Useful when you are ready to build multi-step LLM applications, agents, and graph-based workflows.

Topics

LangGraph, Agents, LLM orchestration, RAG

OpenAI profile photo

OpenAI

OpenAI model docs and Cookbook · Beginner to advanced

Official model and implementation material for learning current GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, and structured outputs.

Topics

GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories

Pinecone profile photo

Pinecone

Pinecone Learn · Beginner to advanced

Useful for understanding vector search, embeddings, chunking, retrieval, and RAG system design.

Topics

Vector databases, RAG, Embeddings, Search

Weaviate profile photo

Weaviate

Weaviate Academy · Beginner to intermediate

Good structured learning around vector databases, retrieval, and search relevance.

Topics

Vector search, RAG, Hybrid search, Embeddings

Arize AI profile photo

Arize AI

Phoenix · Intermediate

Useful for debugging and evaluating LLM applications once you move beyond prototypes.

Topics

Observability, Evals, Tracing, RAG debugging

MIT 6.S191 profile photo

MIT 6.S191

MIT Introduction to Deep Learning · Beginner to intermediate

Compact university-level deep learning coverage with updated lectures and hands-on labs.

Topics

Deep learning, Neural networks, Generative AI, Model training

Good for beginners who want guided coding exercises while learning AI concepts.

Topics

AI foundations, Python, Prompting, LLM apps

Qdrant profile photo

Qdrant

Qdrant Learning Center · Beginner to intermediate

Good for vector search concepts and practical retrieval implementation.

Topics

Vector search, RAG, Embeddings, Search

Chroma profile photo

Chroma

Chroma docs · Beginner to intermediate

Useful for fast local experiments with embeddings and retrieval.

Topics

Vector search, RAG, Embeddings, Local apps

Milvus profile photo

Milvus

Milvus tutorials · Intermediate

Good for learning vector database concepts and scaling retrieval systems.

Topics

Vector databases, RAG, Embeddings, Search

Neo4j profile photo

Neo4j

Neo4j GraphRAG learning · Intermediate

Useful when plain vector retrieval does not capture relationships in your data.

Topics

GraphRAG, Knowledge graphs, RAG, Retrieval

Cohere profile photo

Cohere

Cohere model docs · Beginner to advanced

Official material for learning Cohere chat, embedding, rerank, and LLM University material, especially for grounded enterprise retrieval workflows.

Topics

Command models, RAG, Embeddings, Reranking, Enterprise AI, Model selection, Course material

Learning paths

Resources

OpenAI Cookbook

GitHub repo · OpenAI · Beginner to advanced

You need implementation examples rather than theory.

api, examples, rag, agents

Prompt Engineering Guide

Guide · DAIR.AI · Beginner to advanced

You want examples of prompting techniques and patterns.

prompting, rag, reasoning, agents

handoff: Move Context Between Agent Sessions

Guide / Claude skill · Matt Pocock · Intermediate

You need to preserve useful context across agent sessions without dragging an overloaded conversation forward.

claude skills, handoffs, context engineering, agentic workflows

Building and Evaluating Advanced RAG Applications

Short course · DeepLearning.AI · Intermediate

You already know basic RAG and need better retrieval, evaluation, and production-quality patterns.

rag, evals, retrieval, llm apps, ai engineering

LangChain for LLM Application Development

Short course · DeepLearning.AI · Beginner to intermediate

You want a fast introduction to building LLM applications with chains, retrieval, and tools.

llm apps, langchain, agents, rag, ai engineering

OpenAI Retrieval guide

Guide · OpenAI · Intermediate

You need the official path for file search, retrieval, and grounded answers before designing a RAG stack.

openai, retrieval, rag, file search, knowledge

Cohere models overview

Model docs · Cohere · Beginner to advanced

You need to choose between current Cohere Command, embedding, and rerank models for grounded enterprise search.

cohere, command, rag, embeddings, reranking

Qwen Model Studio model list

Model catalog · Qwen · Intermediate

You need the current hosted Qwen and third-party model catalog with modality coverage and capability splits.

qwen, model selection, multimodal, reranking, embeddings

Gemini File Search

Guide · Google AI for Developers · Intermediate

You want Google's newest first-party retrieval path for grounded Gemini answers with managed chunking, indexing, and multimodal embeddings.

gemini, file search, rag, interactions api, grounded answers

Llama Cookbook

GitHub repo · Meta Llama · Beginner to advanced

You want Meta's practical recipes for inference, fine-tuning, RAG, and end-to-end Llama applications.

llama, open models, rag, fine-tuning, deployment

Mistral OCR guide

Guide · Mistral AI · Intermediate

You want Mistral's current document-AI path for OCR, PDF extraction, and downstream RAG or automation workflows instead of treating OCR as a separate stack.

mistral, ocr, document ai, multimodal, extraction

Cohere LLM University

Free course · Cohere · Beginner to intermediate

You want a structured, practical course path for LLM and RAG concepts from Cohere.

cohere, llm foundations, rag, enterprise ai, course

Cohere Rerank guide

Guide · Cohere · Intermediate

You are learning RAG quality work and want a focused official guide on reranking before debugging retrieval only through prompt changes.

cohere, reranking, rag, retrieval, search relevance

Cohere Embed guide

Guide · Cohere · Intermediate

You want Cohere's official embedding guidance for multilingual retrieval, semantic search, and RAG ingestion choices.

cohere, embeddings, rag, retrieval, multilingual

Perplexity Search API

API docs · Perplexity · Intermediate

You need ranked web results and domain filtering rather than only generated summaries.

perplexity, search api, ai search, grounded answers, rag

Perplexity Embeddings API

API docs · Perplexity · Intermediate

You want the official Perplexity embeddings entry point before designing retrieval, semantic search, or hybrid RAG pipelines around its newer embedding models.

perplexity, embeddings, rag, retrieval, semantic search

RAG with Perplexity Embeddings

Guide · Perplexity · Intermediate

You want Perplexity's practical guidance for turning its embeddings and search stack into a real RAG workflow instead of reading only low-level API docs.

perplexity, rag, embeddings, retrieval, search

PraisonAI

GitHub repo · Mervin Praison · Intermediate

You want an open-source agent framework with examples, tutorials, memory, RAG, and MCP support you can inspect directly.

agents, multi-agent workflows, mcp, rag, open source

Hugging Face Open-Source AI Cookbook

Cookbook · Hugging Face · Intermediate

You want copyable open-source AI recipes for agents, RAG, fine-tuning, deployment, and model experimentation instead of only conceptual course material.

hugging face, cookbook, open models, agents, rag

LlamaIndex Docs video thumbnail

LlamaIndex Docs

Docs and examples · LlamaIndex · Intermediate

You need to connect LLMs to documents, data, and retrieval.

rag, agents, documents

Weaviate Academy video thumbnail

Weaviate Academy

Free academy · Weaviate · Beginner to intermediate

You want structured vector database and retrieval lessons.

vector search, rag, hybrid search

Cole Medin on YouTube

YouTube channel · Cole Medin · Beginner to intermediate

Use this when you want practical creator videos on agents, local AI, n8n, and RAG that are easy to reproduce.

youtube, ai agents, local ai, rag, automation

DeepLearning.AI Short Courses

Short courses · Andrew Ng · Beginner to advanced

Use this when you want Andrew Ng's material for prompting and related AI skills.

Prompting, Agents, RAG, ML foundations

Instructor

Docs · Jason Liu · Intermediate

Use this when you want Jason Liu's material for structured outputs and related AI skills.

Structured outputs, Extraction, RAG

Hamel's AI evals guides

Guides · Hamel Husain · Intermediate to advanced

Use this when you want Hamel Husain's material for evals and related AI skills.

Evals, RAG, LLM product quality

DAIR.AI Prompt Engineering Guide

Guide · Elvis Saravia · Beginner to advanced

Use this when you want Elvis Saravia's material for prompting and related AI skills.

Prompting, RAG, Reasoning, Agents

Lilian Weng's AI posts

Technical essays · Lilian Weng · Advanced

Use this when you want Lilian Weng's material for agents and related AI skills.

Agents, RAG, ML research

Cole Medin AI agents and local AI

YouTube tutorials · Cole Medin · Beginner to intermediate

Use this when you want Cole Medin's material for ai agents and related AI skills.

AI agents, RAG, Local AI, n8n, Claude Code

PraisonAI

GitHub repo · Mervin Praison · Intermediate

Use this when you want Mervin Praison's material for ai agents and related AI skills.

AI agents, Multi-agent workflows, MCP, RAG, Open source

LlamaIndex

Docs · Jerry Liu · Intermediate

Use this when you want Jerry Liu's material for rag and related AI skills.

RAG, Agents, Document workflows, Context augmentation

LangChain and LangGraph tutorials

Notebooks · Lance Martin · Intermediate

Use this when you want Lance Martin's material for langgraph and related AI skills.

LangGraph, Agents, RAG, LLM orchestration

Data Independent AI tutorials

YouTube tutorials · Greg Kamradt · Beginner to intermediate

Use this when you want Greg Kamradt's material for rag and related AI skills.

RAG, LLM apps, Prompting, Evaluation

James Briggs AI tutorials

YouTube tutorials · James Briggs · Beginner to intermediate

Use this when you want James Briggs's material for vector search and related AI skills.

Vector search, RAG, Agents, Embeddings

Weaviate education videos

YouTube tutorials · Connor Shorten · Beginner to intermediate

Use this when you want Connor Shorten's material for vector search and related AI skills.

Vector search, RAG, Hybrid search, Agents