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.

22 matches for "embeddings"

Video matches

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

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

Educators

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

Essential education for understanding sentence embeddings and semantic search in practice.

Skills

Embeddings, Semantic search, Vector search, NLP

Providers and platforms

P

Pinecone

Pinecone Learn · Beginner to advanced

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

Topics

Vector databases, RAG, Embeddings, Search

W

Weaviate

Weaviate Academy · Beginner to intermediate

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

Topics

Vector search, RAG, Hybrid search, Embeddings

Q

Qdrant

Qdrant Learning Center · Beginner to intermediate

Good for vector search concepts and practical retrieval implementation.

Topics

Vector search, RAG, Embeddings, Search

C

Chroma

Chroma docs · Beginner to intermediate

Useful for fast local experiments with embeddings and retrieval.

Topics

Vector search, RAG, Embeddings, Local apps

M

Milvus

Milvus tutorials · Intermediate

Good for learning vector database concepts and scaling retrieval systems.

Topics

Vector databases, RAG, Embeddings, Search

C

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

P

Perplexity

Perplexity API docs · Beginner to advanced

Official material for learning web-grounded AI search, Sonar, Agent API workflows, citations, MCP-server access, retrieval, and model choice.

Topics

AI search, Sonar, Agent API, Grounded answers, Model selection, Research workflows, MCP

Resources

Vercel AI SDK Tutorial

Free tutorial · Matt Pocock · Beginner to intermediate

You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents.

ai sdk, typescript, streaming, structured outputs, tool calling

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

Perplexity API overview

API docs · Perplexity · Beginner to advanced

You need to understand Search, Sonar, Agent, and Embeddings APIs for grounded AI research workflows.

perplexity, sonar, agent api, ai search, grounded answers

The Illustrated Transformer

Visual essays · Jay Alammar · Beginner to intermediate

Use this when you want Jay Alammar's material for transformers and related AI skills.

Transformers, Embeddings, LLM concepts

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

Sentence Transformers

Docs · Nils Reimers · Intermediate

Use this when you want Nils Reimers's material for embeddings and related AI skills.

Embeddings, Semantic search, Vector search, NLP