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LlamaIndex ‘legal-kb’: Agentic Retrieval over Index v2 with retrieve, find, read, and grep Tools

LlamaIndex ships agentic retrieval tools. Agents can now grep, find, and read documents like a filesystem.

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AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

LlamaIndex released a reference implementation (legal-kb) demonstrating agent-native document retrieval at scale. This shows RAG evolution from vector search to multi-tool agent workflows—directly applicable to enterprise knowledge work.

The key facts

11 to know
  1. LlamaIndex legal-kb: public reference app for agentic document retrieval

  2. Tools exposed: retrieve (hybrid semantic search), find, read, grep

  3. Built on Index v2 with automatic per-file versioning

  4. Tech stack: TanStack Start, AI SDK 6 (ToolLoopAgent), Prisma, WorkOS

  5. Visual citations and filesystem-style agent access to knowledge base

  6. LlamaIndex released legal-kb reference app

  7. Exposes retrieve (hybrid semantic search), find, read, and grep as agent tools

  8. Automatic per-file versioning and visual citations built in

  9. Stack: TanStack Start, AI SDK 6 (ToolLoopAgent), Prisma, WorkOS

  10. Demonstrates agentic access patterns to document knowledge bases

  11. Index v2 integration

Go to the source

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Publisher excerpt: LlamaIndex’s legal-kb is a public reference app that gives agents filesystem-style access to a document knowledge base on Index v2. It exposes retrieve (hybrid semantic search), find, read, and grep as tools, with automatic per-file versioning and visual citations. The stack is TanStack Start, AI…
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