Retrieve context from the vector database and query the LLM In part 2 we ask a natural language question of our knowledge base, using similarity search to find a context and using an LLM (in this ...

With AI applications the dominant data types are vectors and the query patterns are vector search. The difference may be hard to spot with very small use cases, but the difference in performance ...

MariaDB has recently released MariaDB Community Server 11.8 as generally available, its yearly long-term support (LTS) ...

This emphasis on relevance transforms the way data is accessed, based on how closely a result matches a query rather than just whether it fits an exact condition. The benefits of vector databases ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Since vector data is natively managed within Azure SQL ... businesses can develop search systems that understand the context of queries, improving the user experience by delivering more meaningful ...

Vector databases have emerged to handle this problem; they are specialized databases that can efficiently index, query and retrieve the high-dimensional data critical to building and running AI.

Rockset uses both KNN and ANN based on the query and data. The SQL queries in Rockset allow combining vector search with other metadata filters. The query optimizer in Rockset picks whether to use ...

One of the primary functions of a vector database is to perform similarity searches which can quickly find vectors that are most similar to a given query vector using measures like cosine ...

A Vector DB stores and manages unstructured data — text, images ... They can handle more complex, nuanced queries based on the types of connections, the nature of their nodes, structure ...

"You have to have a vector database because something has to push context into the query to OpenAI. And where does that context come from? Always a vector database." As AI startups continue to ...

enabling it to respond rapidly and accurately to queries such as nearest-neighbor search. The company launched the original, server-based version of its vector database back in 2021, saying that ...