RT Jerry LiuWe comprehensively benchmarked GPT-5.6 on document understanding.At a high-level there's no change between GPT-5.6 Sol and GPT-5.5 in terms of performance over tables, text,…
Low user caps in LlamaParse? Gone.🎉Every plan — Free through Pro — now unlocks up to 100 team members.No more picking who gets a seat. No…
Introducing: Granular job tracking and cost attribution in LlamaParse 🦙 Parsing thousands of pages a day is a lot to manage. Engineering teams need to have…
We've rolled out improvements to LlamaParse Cost Optimizer. Our intelligent tier routing now more reliably ensures you always strike the right balance between cost and accuracy…
Most agentic retrieval demos assume clean, well-structured documents. Enterprise reality is often different, consisting of messy PDFs where critical information is buried across tables, figures, and…
RT Jerry LiuBuilding the Document Context Layer for AI AgentsAI Agents are the new knowledge workers, but the vast majority of knowledge work depends on unstructured…
RT Jerry LiuThere is a massive demand for processing files *in the agent loop*. The number of users submitting agent queries with file attachments is exponentially…
RT Jerry LiuWe've created a comprehensive Retrieval Harness for modern agentic retrieval in 2026.The harness provides a persistent data pipeline that can connect to a data…
The team at @vercel recently released the Eve agent framework, so we built a template that integrates LiteParse with it🦙 The template provides a set of…
RT Jerry Liu3 years ago I gave a talk at the first @aiDotEngineer conference on "Advanced RAG" techniques in order to work around the limitations of…