Vector Databases (FAISS / Weaviate / BigQuery Vector Search)
Introduction to Vector Databases
Let’s continue building our retrieval system.
In the last lesson, we learned how to split large documents into smaller chunks.
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Summary – Key Takeaways
Let’s recap.
Vector databases store embeddings and help search by meaning.
They are essential once you have many document chunks.
We covered:
- FAISS for learning and prototypes
- Weaviate for scalable applications
- BigQuery Vector Search for Google Cloud enterprise teams
The right tool depends on your use case.
Citations :
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