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.

“A vector database organizes and stores vectors - numerical representations of words or phrases generated by LLMs - in a structured way,” explained Mark Nijmeijer, senior director of product ...

When you run a query and are adding context to a prompt, use the document chunks from the index metadata. Ranking information can help construct the context needed, allowing the LLM to produce a ...

Agentic AI can also run temporal queries, ... By fusing vectors with unstructured data, an enterprise vector store can optimize the performance of that data.

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 ...

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 ...

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.