llamaindex

LlamaIndex introduces the Retrieval Harness in LlamaParse, providing filesystem primitives like hybrid retrieval, file listing, grep, and file read for AI agents to scalably search and traverse documents.

Jerry Liu discusses the need for an agent-native document format that balances human and AI readability, comparing markdown and HTML, and mentioning LlamaParse for handling existing formats.

LiteParse is a fast, open-source document parser that outperforms some frontier VLMs on markdown parsing without using AI models. It is available in multiple languages and platforms, and is developed by LlamaIndex.

LlamaIndex introduces agentic retrieval with LlamaParse Index, combining semantic search and grep for flexible agent harnesses. A webinar on June 30th will demonstrate these tools.

A curated list of X/Twitter accounts that explain AI concepts and teach how to build tools, agents, and frameworks, covering retrieval, testing, fine-tuning, and more.

Fact0 is a tool for tamper-evident audit trails and execution replay for AI agents, integrating with LangChain, CrewAI, and LlamaIndex. It provides cryptographic verification, execution DAG visualization, and searchable logs.

Google's TurboVec is a new open-source tool that reduces memory usage from 31GB to 4GB for AI search data, leveraging TurboQuant for faster search than FAISS, and integrates with LangChain and LlamaIndex while running fully offline.

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.