Vector Indexing Explained in 60 Seconds

Ever wondered how similar items are found in massive datasets? If you’re working with a lot of unstructured data, vector indexing might be the answer.
This powerful technique organizes vector embeddings in databases, designed to significantly increase the speed of similarity search processes with minimal tradeoffs in search accuracy.

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Is that mean we don't need to covert unstructured data into structure for RAG applications but can use vector indexing instead?