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📅 Today’s Picks

Semantic Search Without Complex Setup Headaches

Problem

Have you ever found yourself looking up SQL syntax when you just want to query your database?

Complex joins and subqueries create friction between you and your data insights.

Solution

The semantic search workflow connects natural language questions to your existing PostgreSQL tables.

The complete workflow includes:

• Database setup with PostgreSQL and pgvector extension
• Content preprocessing for optimal embeddings
• Embedding pipeline using Ollama models
• Vector storage with SQLAlchemy integration
• Query interface for natural language searches
• Response generation combining retrieval and LLMs

Query your database with plain English instead of SQL syntax.

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