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RAG and LlamaIndex
LlamaIndex · rag, documents, agents, context augmentation
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.
20 matches for "llama"
Video matches
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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The last six months in LLMs in five minutes
Simon Willison · llm tools, local models, ai engineering, coding
Educators
Jerry Liu
LlamaIndex · Intermediate
Strong practical material for connecting LLMs to private data, documents, retrieval, and workflows.
Skills
RAG, Agents, Document workflows, Context augmentation
Providers and platforms
OpenRouter
OpenRouter docs · Beginner to intermediate
Useful for learning model comparison, latest-family aliases, routing, fallback behavior, agent construction, project-specific evals, and API-compatible experimentation across proprietary and open model families.
Topics
Model routing, Model comparison, Auto Router, Agent SDK, Coding-agent harnesses, GPT models, Claude models, Gemini, Llama, Mistral, DeepSeek, Qwen, API examples, Evaluation
Meta Llama
Meta Model API and Llama docs · Beginner to advanced
Official path into current Llama families, prompt formats, open-weight deployment, Meta's newer hosted Model API surface, and integration decisions for both local and managed workflows.
Topics
Llama, Open models, Meta Model API, Muse Spark, Muse Code, Local models, Fine-tuning, Model deployment, Safety models
Together AI
Together AI model catalog · Beginner to advanced
Useful for learning which open and hosted models are available through a unified inference platform.
Topics
Open models, Serverless inference, Llama, Qwen, DeepSeek, Mistral, Model hosting
Ollama
Ollama docs · Beginner to intermediate
Practical route into running and testing local models on your own machine.
Topics
Local models, LLM tools, AI engineering, Privacy
llama.cpp
llama.cpp examples · Intermediate to advanced
Core educational repo for understanding local inference, quantization, and efficient model running.
Topics
Local models, Inference, Quantization, AI engineering
Learning paths
Frontier models and model selection
Builders choosing between Claude, GPT, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, Grok, Perplexity, and hosted open models
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
Open next
Resources
Llama 4 prompt formats
Model docs · Meta Llama · Beginner to advanced
You need the current official Llama 4 prompt formats and model-card details before choosing Maverick or Scout for hosted or local deployment.
llama, meta, llama 4, prompt formats, open models
Llama docs overview
Docs overview · Meta Llama · Intermediate
You want Meta's official starting point for access, hosting, integrations, and next-step guides before wiring a Llama stack into tooling or eval configs.
llama, meta, docs overview, model selection, deployment
Meta Model API overview
API docs · Meta Llama · Intermediate
You want Meta's current hosted entry point for Muse Spark and agent-ready coding workflows rather than assuming the older Llama docs cover the newest API surface.
meta, model api, muse spark, muse code, coding agents
Together AI model catalog
Model catalog · Together AI · Beginner to advanced
You need to browse hosted open and proprietary models by provider and capability.
together ai, open models, llama, qwen, deepseek
OpenRouter models guide
Models guide · OpenRouter · Beginner to advanced
You need to compare many model families through one catalog before testing prompts across providers.
openrouter, model comparison, model routing, opus, claude
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
Llama API models
Model docs · Meta Llama · Beginner to advanced
You need Meta's current model-card and prompt-format index before choosing which Llama family, size, or integration path to test.
llama, meta, open models, model cards, prompt formats
Hugging Face model hub
Model catalog · Hugging Face · Beginner to advanced
You need to discover, compare, and run open model checkpoints, datasets, and demos.
hugging face, model hub, open models, llama, qwen
State of Open Models: Summer 2026 Observations
Ecosystem report · Hugging Face · Intermediate
You want a current August 14, 2026 ecosystem read on where open-model adoption is actually concentrating, especially around Qwen, small models, and agent-oriented usage.
hugging face, open models, qwen, llama, model ecosystem
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LlamaIndex Docs
Docs and examples · LlamaIndex · Intermediate
You need to connect LLMs to documents, data, and retrieval.
rag, agents, documents
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