We used SQLite with the sqlite-vss extension as our local vector database. And we used Ollama to run the Llama 2 ... is a way to find the vectors in our database that are nearest to the vector query.

Oracle is planning to add vector search capabilities to its database offering, dubbed Database 23c, the company announced at its ongoing annual CloudWorld conference.. These capabilities, dubbed ...

The AI query engine enables more intuitive data access while maintaining SQL’s structure and security. The optimized vector search delivers measurable performance improvements for semantic ...

VCs are hungry to back vector database startups and other behind-the-scenes tech that improves AI. Vector databases store and structure data that LLMs can then pull from. Business Insider has ...

A Vector DB stores and manages unstructured data — text, images, audio, etc. — as vector embeddings (numerical format). These embeddings capture the semantic relationships between the data points.

Setting up a memory database integrated with an MCP (Model Context Protocol) server can significantly enhance how you manage and retrieve data. By using OpenAI’s file store and vector database ...

While graph data is great at representing and analyzing complex relationships and connections, vector data is optimized for efficient search capabilities and calculations in high-dimensional spaces.

Neptune Analytics automatically allocates compute resources according to the graph’s size and quickly loads all the data in memory to run your queries in seconds,” the company wrote in a blog ...

Microsoft Fabric, a data platform intended to unify all data and analytics services, now includes support for semistructured data through the preview of Azure Cosmos DB, a NoSQL and vector database.