►
LangGraph introduction
LangChain · agents, langgraph, llm orchestration, rag
AI directory search
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"
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
►
LangChain · agents, langgraph, llm orchestration, rag
►
LlamaIndex · rag, documents, agents, context augmentation
►
Weaviate · vector search, rag, embeddings, hybrid search
►
Pinecone · vector databases, rag, embeddings, search
►
Arize AI · evals, observability, tracing, rag debugging
DeepLearning.AI Short Courses · Beginner to advanced
Structured, practical courses from prompt engineering through agentic workflows.
Skills
Prompting, Agents, RAG, ML foundations
Instructor · Intermediate
Practical patterns for getting reliable structured data from LLMs.
Skills
Structured outputs, Extraction, RAG
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
DAIR.AI Prompt Engineering Guide · Beginner to advanced
A broad prompt engineering guide with many concrete examples and patterns.
Skills
Prompting, RAG, Reasoning, Agents
Lilian Weng's AI posts · Advanced
Deep, well-structured technical summaries of major AI topics.
Skills
Agents, RAG, ML research
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 · 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
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
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 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
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
Lena Shakurova on Maven · Beginner to intermediate
Practical course for deciding what should be automated, auditing workflows, and starting an AI automation initiative.
Skills
AI automation, Operations, Process audits, Delegation
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
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
LlamaIndex · Intermediate
Strong practical material for connecting LLMs to private data, documents, retrieval, and workflows.
Skills
RAG, Agents, Document workflows, Context augmentation
The Data Exchange · Intermediate
Good practitioner interviews across data, ML, and AI engineering.
Skills
Data systems, ML engineering, AI trends
LangChain and LangGraph tutorials · Intermediate
Hands-on notebooks for LangGraph, agent patterns, retrieval, and stateful LLM apps.
Skills
LangGraph, Agents, RAG, LLM orchestration
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 AI tutorials · Beginner to intermediate
Useful practical explanations of embeddings, retrieval, LangChain, Pinecone, and agent workflows.
Skills
Vector search, RAG, Agents, Embeddings
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
Full Stack Deep Learning · Intermediate to advanced
Practical coverage of the whole ML product lifecycle.
Topics
MLOps, Deployment, Product ML
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 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 Learn · Beginner to advanced
Useful for understanding vector search, embeddings, chunking, retrieval, and RAG system design.
Topics
Vector databases, RAG, Embeddings, Search
Weaviate Academy · Beginner to intermediate
Good structured learning around vector databases, retrieval, and search relevance.
Topics
Vector search, RAG, Hybrid search, Embeddings
Useful for debugging and evaluating LLM applications once you move beyond prototypes.
Topics
Observability, Evals, Tracing, RAG debugging
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
Codecademy AI courses · Beginner
Good for beginners who want guided coding exercises while learning AI concepts.
Topics
AI foundations, Python, Prompting, LLM apps
Qdrant Learning Center · Beginner to intermediate
Good for vector search concepts and practical retrieval implementation.
Topics
Vector search, RAG, Embeddings, Search
Chroma docs · Beginner to intermediate
Useful for fast local experiments with embeddings and retrieval.
Topics
Vector search, RAG, Embeddings, Local apps
Milvus tutorials · Intermediate
Good for learning vector database concepts and scaling retrieval systems.
Topics
Vector databases, RAG, Embeddings, Search
Neo4j GraphRAG learning · Intermediate
Useful when plain vector retrieval does not capture relationships in your data.
Topics
GraphRAG, Knowledge graphs, RAG, Retrieval
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
Developers building AI apps
Learn first
Good matches
Open next
GitHub repo · OpenAI · Beginner to advanced
You need implementation examples rather than theory.
api, examples, rag, agents
Guide · DAIR.AI · Beginner to advanced
You want examples of prompting techniques and patterns.
prompting, rag, reasoning, agents
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
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
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
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
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
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
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
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
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
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
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
Guide · Cohere · Intermediate
You want Cohere's official embedding guidance for multilingual retrieval, semantic search, and RAG ingestion choices.
cohere, embeddings, rag, retrieval, multilingual
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
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
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
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
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
►
Docs and examples · LlamaIndex · Intermediate
You need to connect LLMs to documents, data, and retrieval.
rag, agents, documents
►
Guide · Pinecone · Beginner to intermediate
You need to understand the moving parts of RAG.
rag, vector search, embeddings
►
Free academy · Weaviate · Beginner to intermediate
You want structured vector database and retrieval lessons.
vector search, rag, hybrid search
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
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
Docs · Jason Liu · Intermediate
Use this when you want Jason Liu's material for structured outputs and related AI skills.
Structured outputs, Extraction, RAG
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
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
Technical essays · Lilian Weng · Advanced
Use this when you want Lilian Weng's material for agents and related AI skills.
Agents, RAG, ML research
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
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
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
Notebooks · Lance Martin · Intermediate
Use this when you want Lance Martin's material for langgraph and related AI skills.
LangGraph, Agents, RAG, LLM orchestration
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
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
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