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Vector search and Weaviate
Weaviate · vector search, rag, embeddings, hybrid search
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.
27 matches for "Embeddings"
Video matches
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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Pinecone semantic search
Pinecone · vector databases, rag, embeddings, search
Educators
Jay Alammar
The Illustrated Transformer · Beginner to intermediate
Still one of the clearest visual explanations of transformer concepts.
Skills
Transformers, Embeddings, LLM concepts
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
Nils Reimers
Sentence Transformers · Intermediate
Essential education for understanding sentence embeddings and semantic search in practice.
Skills
Embeddings, Semantic search, Vector search, NLP
Providers and platforms
A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.
Topics
ML foundations, Classification, Embeddings, Neural networks
Pinecone
Pinecone Learn · Beginner to advanced
Useful for understanding vector search, embeddings, chunking, retrieval, and RAG system design.
Topics
Vector databases, RAG, Embeddings, Search
Weaviate
Weaviate Academy · Beginner to intermediate
Good structured learning around vector databases, retrieval, and search relevance.
Topics
Vector search, RAG, Hybrid search, Embeddings
Stanford CS224N
Natural Language Processing with Deep Learning · Intermediate to advanced
A deep route into the NLP concepts behind embeddings, attention, and modern language models.
Topics
NLP, Transformers, Embeddings, Language models
Qdrant
Qdrant Learning Center · Beginner to intermediate
Good for vector search concepts and practical retrieval implementation.
Topics
Vector search, RAG, Embeddings, Search
Chroma
Chroma docs · Beginner to intermediate
Useful for fast local experiments with embeddings and retrieval.
Topics
Vector search, RAG, Embeddings, Local apps
Milvus
Milvus tutorials · Intermediate
Good for learning vector database concepts and scaling retrieval systems.
Topics
Vector databases, RAG, Embeddings, Search
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
Perplexity
Perplexity API quickstart · Beginner to advanced
Official material for learning web-grounded AI search, Agent API workflows, citations, MCP-server access, retrieval, and model choice.
Topics
AI search, Search API, 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, Agent, and Embeddings APIs for grounded AI research workflows and multi-provider model access.
perplexity, agent api, search api, ai search, grounded answers
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
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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Pinecone Learn: Retrieval-Augmented Generation
Guide · Pinecone · Beginner to intermediate
You need to understand the moving parts of RAG.
rag, vector search, embeddings
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