All free resources
AI

Embeddings & Vector Search Primer

How semantic search actually works, with code.

Explains embeddings, cosine similarity, chunking strategy and hybrid search, then shows a working retrieval pipeline. The chunking chapter is the difference between a demo and a useful RAG system.

embeddingsragsearch

What you get

  • Tutorial — delivered from the official source, always the latest version.
  • Licence: Apache 2.0. Safe to use in personal and client work.
  • No signup, no email wall, no download manager.
AIAwesome ChatGPT Prompts

Hundreds of role prompts that actually change output quality.

Prompt library · CC0 / public domain

AIPrompt Engineering Guide

From zero-shot to chain-of-thought, with worked examples.

Online guide · MIT / open source

AIHugging Face Model Hub

Open models for text, vision, audio and embeddings.

Model repository · Varies — per model

AIImage Prompt Book

Style, lighting and camera keywords that control output.

Illustrated PDF · Creative Commons

AIOpen LLM Course

Fine-tuning, quantisation and deployment, free.

Notebooks + roadmap · Apache 2.0

See the full AI collection

People also grabbed

Next packProject Gutenberg Library