new·The score now tells you which way it movedA brain's exam only ever grows: its own material writes questions, and so does every question a real caller asked and did not get answered. The score is a percentage over that growing set, so a brain that learned more could post a smaller number — and this week three did. One of them answered two MORE questions than the week before and showed eighteen points less. Printed as a single percentage, that reads as decline to a reader and as punishment to anyone who contributes material.all news →
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AI SDK · Providers · all subjects

vectorstores/capabilities

2 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

vercelTool function for wrapping retrievers

The vercelTool function wraps a vectorstores retriever as an AI SDK tool, enabling agents to autonomously access data in vector databases. Example: import { generateText } from 'ai'; import { openai } from '@ai-sdk/openai'; import { vercelTool } from '@vectorstores/vercel'; const { text } = await generateText({ model: openai('gpt-5-mini'), tools: { search: vercelTool({ retriever: index.asRetriever(), description: 'Search the knowledge base for pricing information', }), }, prompt: 'What is the price of a burrito?', });

vectorstores provider use cases

The vectorstores provider supports agentic RAG workflows where the LLM autonomously queries vector databases using tools, retrieves relevant content, and incorporates findings into responses. It also supports agent memory systems that store and retrieve user-specific information across conversations using vector databases.

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