Browsing: search

Perplexity has released pplx, an official command line client for its Search API. The tool returns grounded search results and extracted page text, all as JSON.…

, vector search has become a critical piece of AI infrastructure, powering use cases from RAG and semantic search to agentic memory and context layers. With…

Research agents already handle real knowledge work today. Teams delegate competitive mapping, due diligence, and literature review to them. However, most benchmarks test a single answer,…

application we build is a RAG app. The recipe is simple: chunk, embed, retrieve, then answer. It looks clean on paper. But once you use it…

companion to Enterprise Document Intelligence, the series whose philosophy is laid out in Amplify the Expert. It zooms in on brick 2 (question parsing) of the…

brick of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks: parsing, question parsing, retrieval, and generation. Retrieval is the third…

Today, Mistral AI released OCR 4, its latest document-understanding model. This new release adds bounding boxes, block classification, and inline confidence scores alongside extracted text. It…

This week, Liquid AI released two new retrieval models. They are LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M. Both hold 350M parameters. Both are the first bidirectional members of the…

of any e-commerce platform. Users expect to see relevant results and, they want them fast. Because of this, e-commerce teams constantly work to improve both performance…

A new working research from Perplexity and Harvard offers field evidence on what AI agents do to knowledge work. It draws on production data from two…