Agentic retrieval is changing the way retrieval-augmented applications are built, especially in doma...
TL;DR · AI 摘要
LlamaIndex 🦙 on X: "Agentic retrieval is changing the way retrieval-augmented applications are built, especially in doma...
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- 来源：LlamaIndex 🦙(@llama_index)，建议结合原文判断细节。
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LlamaIndex 🦙 on X: "Agentic retrieval is changing the way retrieval-augmented applications are built, especially in domains like legal and fintech, where agents need to autonomously navigate large, evolving knowledge bases. That’s exactly the use case we designed Index v2 for. To demonstrate https://t.co/AfLtokc40t" / X
LlamaIndex 🦙
@llama_index
Agentic retrieval is changing the way retrieval-augmented applications are built, especially in domains like legal and fintech, where agents need to autonomously navigate large, evolving knowledge bases. That’s exactly the use case we designed Index v2 for. To demonstrate what’s possible, we built legal-kb, a reference application that integrates Index v2 into an agentic knowledge automation workflow. It uses Index v2 as the underlying knowledge base and exposes its retrieve, read, grep, and find APIs as tools that an AI agent can use to autonomously explore and reason over your documents. With legal-kb, you get: 📚 Project-scoped knowledge bases for agent-powered chat 📖 Visual citations directly in agent responses 🌿 Version control for your knowledge base 📦 Data export capabilities Try it out:
legal-kb.dev
Explore the code:
github.com/run-llama/lega…
Get started with LlamaParse:
cloud.llamaindex.ai/signup
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5:30 PM · Jul 1, 2026
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