Search across educators, skills, and resources.

Learn first

• How to structure instructions, memories, and skills
• When to use MCP servers versus retrieval or file search
• Subagents, hooks, and tool boundaries
• How to keep agent context small, relevant, and testable

Good matches

Simon Willison Matt Pocock Matthew Berman Mervin Praison

Open next

• OpenAI Cookbook
• AI Skills for Real Engineers
• AI SDK v6 Crash Course
• LLM Fundamentals

Learn first

• Chunking and retrieval
• Structured extraction
• Reranking
• Grounded answers

Good matches

Andrew Ng Jason Liu Hamel Husain Elvis Saravia

Open next

• OpenAI Cookbook
• Prompt Engineering Guide
• handoff: Move Context Between Agent Sessions
• LLM Evals

Learn first

• When to use Claude or GPT-class reasoning models for complex coding, analysis, and long-horizon agent work
• How Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, and Perplexity differ by modality, openness, retrieval, coding, and price
• Context windows, output limits, latency, pricing, tool support, and eval-based routing
• How to migrate safely when frontier model versions change

Good matches

Simon Willison Elvis Saravia AI Operators Club Jam Anderson

Open next

• OpenAI Cookbook
• Prompt Engineering Guide
• Perplexity Deep Research and Search API docs
• Perplexity Deep Research 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

Give Your Coding Agents a Memory You Own

Open-source guide and repo · Hugging Face · Intermediate

You want a September 3, 2026 walkthrough of funes, an open-source local memory layer that indexes agent traces, preserves provenance, and lets Claude Code, Codex, pi, and Hermes recall decisions across sessions and machines.

hugging face, coding agents, agent memory, codex, claude code

GPT-6 Astra launch overview

Model launch · OpenAI · Intermediate to advanced

You want OpenAI's September 3, 2026 launch overview for GPT-6 Astra, including its rollout, computer-use and coding focus, long-context behavior, benchmark disclosures, pricing, and new Codex context-retrieval workflow.

openai, gpt-6 astra, frontier models, coding, computer use

Multi-Vector Embedding Models with Sentence Transformers

Practical guide · Hugging Face · Intermediate to advanced

You want a runnable guide to ColBERT-style late-interaction retrieval, including MaxSim scoring, retrieve-and-rerank, indexing, visual document retrieval, evaluation, and the storage-quality tradeoff versus dense embeddings.

hugging face, sentence transformers, rag, retrieval, embeddings

Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

Training guide · Hugging Face · Advanced

You need an end-to-end August 26, 2026 recipe for adapting a late-interaction retriever to your own domain, from datasets and losses through training, evaluation, and index optimization.

hugging face, sentence transformers, rag, retrieval, fine-tuning

Cohere Parse

Model docs · Cohere · Intermediate

You need Cohere's August 27, 2026 document-parsing model for turning PDFs, slides, forms, tables, and images into structured Markdown before embedding, reranking, or agent retrieval.

cohere, parse, document ai, rag, ocr

Mistral Agentic Search

Guide · Mistral AI · Intermediate to advanced

You want Mistral's official August 20, 2026 explanation of multi-step retrieval that lets an agent search, open, navigate, read, and grep complex documents instead of relying on one-shot top-k RAG.

mistral, agentic search, rag, retrieval, document ai

OpenAI tools guide

Guide · OpenAI · Intermediate

You need the official overview of built-in tools before deciding between plain model calls, retrieval, web search, or computer-use workflows.

openai, tools, agent workflows, file search, web search

OpenAI web search guide

Guide · OpenAI · Intermediate

You want the official OpenAI path for live web retrieval, citations, and freshness-aware research behavior inside agent workflows.

openai, web search, grounded answers, research workflows, agents

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

Perplexity Search Evals

GitHub repo · Perplexity · Intermediate

You want Perplexity's open evaluation suites for benchmarking grounded search quality and comparing search API behavior against other retrieval stacks.

perplexity, search evals, benchmarks, grounded answers, evaluation

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

Gemini URL Context

Guide · Google AI for Developers · Intermediate

You want Gemini to read and reason over live web pages directly, which is useful for cited research, page summarization, and web-grounded automation.

gemini, url context, web pages, grounded answers, research workflows

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

Cohere Embed Jobs API

API docs · Cohere · Intermediate

You need Cohere's bulk embedding workflow for larger corpora instead of issuing one embedding request per document at ingestion time.

cohere, embed jobs, embeddings, batch processing, retrieval

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

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LlamaIndex Docs

Docs and examples · LlamaIndex · Intermediate

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

rag, agents, documents

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Pinecone Learn: Retrieval-Augmented Generation

Guide · Pinecone · Beginner to intermediate

You need to understand the moving parts of RAG.

rag, vector search, embeddings

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Weaviate Academy

Free academy · Weaviate · Beginner to intermediate

You want structured vector database and retrieval lessons.

vector search, rag, hybrid search