Build AI Search: Beyond Keywords with Postgres & Supabase (Explainer)

Read the full article and see the code here: https://techsynth.tech/blog/semantic-search-postgres-pgvector-supabase/

Standard search is broken. If you search for "automobile," old databases won't find "car." In this video, we dive into the solution: Semantic Search.

We explain how to use AI Vector Embeddings to make your database "smart" enough to understand the *meaning* of words, not just the spelling.

Topics covered:
- Why Keyword Search fails in 2026
- What are Vector Embeddings? (Simple explanation)
- How Supabase and pgvector make this easy
- Moving from exact matching to "Cosine Similarity"

This content was generated as part of an experimental workflow using NotebookLM and Gemini.

#Supabase #Postgres #AI #WebDevelopment #TechSynth

Видео Build AI Search: Beyond Keywords with Postgres & Supabase (Explainer) канала Daily Cyber Brief