egarim / egarim/PropScout

[P2] Property embeddings — pgvector pipeline

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backend phase-2
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Description

Generate and store vector embeddings for semantic search:
- After each scrape, generate embedding for each property
- Use OpenAI/Claude embedding model
- Store in property_embeddings (pgvector)
- Enable similarity search: 'find homes like this one'

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