What is semantic search and why use it?
Semantic search finds meaning, not just keywords.
How It Works:
Transforms queries and documents into embedding vectors; uses similarity measures to retrieve results that match intent, not just literal terms.
Key Benefits:
- Improved relevance: Understands synonyms and context.
- Natural queries: Users type freely.
- Domain adaptation: Fine-tune embeddings on your corpus.
Real-World Use Cases:
- E-commerce: Surface products matching intent, not exact words.
- Knowledge bases: Find related articles even with varied phrasing.
FAQs
How train embeddings?
What latency to expect?
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