Glossary › RAG

Semantic Search

Search based on meaning rather than keyword matching. Uses embeddings to find conceptually similar content. "How do I deploy?" matches "shipping to production" even without shared words.

Where this is taught

• Embeddings & Semantic Search — Phase 0: LLM Fast Track
• Vector Search from Scratch: TF-IDF, BM25 & Semantic Search — Phase 0: Development Environment & Mathematical Foundations
• RAG over Codebase (Cross-Repo Semantic Search) — Phase 1: Retrieval & Knowledge Systems
• Self-Querying & Recursive Retrieval — Phase 3: Agentic RAG
• LLM Fundamentals for PMs — Phase 1: AI & ML Literacy for PMs

Related terms

Embedding · Vector Store · Cosine Similarity

More in RAG

Chunking · Reranking · Hybrid Search

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