The article explains how agentic document processing enables AI to shift from passive data extraction to actively understanding, reasoning, and executing complex business workflows for end-to-end automation.
LlamaIndex launches Retrieval Harness, equipping AI agents with filesystem primitives like file listing, exact grep, and chunked reading to overcome the fragmentation of semantic search.
The article explores the boundaries between traditional grep and semantic search/RAG for AI agents, highlighting grep's limitations with unstructured documents and at enterprise scale, and proposes a hybrid approach combining parsing tools.