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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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