Insights, Updates, and Expertise in Agentic AI
Instead of asking a model to retrieve documents, we ask it to write a short query in a small LISP-style language and compile that into OpenSearch. Here is the language, the pipeline, and how it compared with generative retrieval on LIMIT.
Single-vector embeddings blur the details a query turns on. We ran the LIMIT benchmark against several retrieval setups to see where vectors break and where they don't.
Two standards claim to answer that - C2PA and SynthID. I signed images, broke them on purpose, and pushed them through WhatsApp, Lightroom and LLMs to see what actually survives.
Why live transcription feels slower the longer you talk, and how a new streaming encoder fixes it.
Beyond Coding: Claude Tested and Troubleshot Our customer's Enterprise Pipeline for 10 Hours
Enterprise semantic search is more than embedding magic...
Almost everyone in the LLM space would have heard about MCP...
Search is an inevitable part of any enterprise application...
