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Parse-Flow is an open-source visual workflow designer that composes document intelligence primitives (parsing, extraction, classification, splitting) into reusable pipelines, backed by LlamaIndex and a Python worker.
Attended the Applied AI Conference in Berlin and gave a talk on building document agents, including a detailed walkthrough of LobsterX, a document-processing agent built with LlamaIndex that uses structured outputs and event-driven workflows.
LlamaIndex announces ParseBench, a new benchmark for evaluating document parsing for AI agents, and invites AI engineers to a live webinar on May 27th to discuss its methodology and how it addresses gaps in existing benchmarks like OlmOCR.
Jerry Liu announces LlamaIndex's day-1 support for Google's new Managed Agents via the Gemini API, providing a cost-effective agent sandbox and a CLI tool (Antigravity) that integrates LlamaParse for PDF parsing.
LlamaIndex releases liteparse-server, a self-hosted, model-free HTTP API for parsing diverse document types with high spatial fidelity and privacy preservation.