Vector Databases are designed to store and manage vectorized data, enabling efficient searching and similarity calculations through complex data structures such as indexes. They cater to high dimensional data analysis needs.These databases store data in vector format, making them well-suited for AI applications, recommendation systems, and natural language processing. They utilize indexing techniques like HNSW or IVF Flats to facilitate rapid searches through millions of data points. Their...
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We use Chroma for RAG (Retrieval-augmented generation).