Data news and analysis on Web Pulse: 577 curated articles tracking the latest Data developments, tools, and research, updated continuously from vetted sources.
The article archives two talk proposals submitted to re:publica 2026. The first proposal, "The Future is Decomputing," argues for moving beyond the tech sector's logic of scaling and efficiency toward a more humane and c…
The article traces the evolution of personal computing from the early days of "home computers" used for gaming and simple tasks to the modern era of centralized platforms. It argues that while early software landscapes w…
At the Supercomputing 2025 conference, Cornelis Networks CEO Lisa Spelman discussed the company's OmniPath architecture, a high-performance networking solution for HPC and AI workloads that was originally developed at In…
To load MaxMind's free GeoLite2 IP geolocation database into PostgreSQL for SQL-based queries, enabling joins with other tables, batch operations, and data sharing across services. It provides a practical guide for conta…
Comprehensive guide to hosting PostgreSQL with the pgvector extension, covering provider tradeoffs, migration strategies, and performance tuning for vector workloads. It compares fully managed providers, container-based …
Technical guide for setting up OpenTelemetry (OTEL) telemetry from Claude Code to Prometheus and Grafana to track AI coding productivity metrics. It details the configuration steps, including enabling telemetry via envir…
Infomaniak has launched Euria, a free AI assistant hosted exclusively in Switzerland and powered entirely by renewable energy. Unlike major US or Chinese AI models, Euria prioritizes data privacy by ensuring user data ne…
Bun 1.3 is a major update that transforms Bun into a full-stack JavaScript runtime with built-in frontend development support, including hot reloading, React Fast Refresh, and a production bundler. The release adds first…
The article explains that rsync is a widely available file synchronization tool, commonly used for system backups, and highlights the author's preferred flags: `-av` for archive and verbose modes, `--delete` to keep remo…
Public benchmarks like MTEB are unreliable for evaluating embedding models in real-world retrieval systems because their generic, artificially clean data does not reflect actual user behavior or domain-specific needs. Ke…
Anton Troynikov from ChromaDB emphasized that examining both the data and user queries is a critical first step for optimizing RAG system performance, as misalignment between stored data and user needs often leads to sub…
Discussion with ChromaDB's Anton on text chunking strategies for RAG applications, explaining that chunking remains critical for retrieval efficiency and accuracy regardless of LLM context window size. It covers two main…
Fine-tuning re-rankers and embedding models can boost RAG system retrieval performance by up to 12%, with re-rankers acting as a plug-in between initial retrieval and the LLM. It details training approaches using query-c…
Insights from Chris Lovejoy, Head of Clinical AI at Anterior, on building AI agents for specialized industries. He identifies two key challenges: the "last mile problem" of adapting powerful models to specific workflows …
Glean builds custom embedding models for each customer because enterprise data is highly heterogeneous, containing diverse sources like Slack messages, GitHub code, and meeting transcripts, along with company-specific te…
The article, featuring insights from Ben and Sidhant, explains that AI systems often fail in production because traditional monitoring tools like Sentry are insufficient, as AI errors lack explicit error messages. It emp…
Lexical search remains crucial in RAG systems despite the dominance of semantic search, as it excels at exact matching, handling niche jargon, and efficient filtering. It describes lexical search's inverted index structu…
Guide to Retrieval-Augmented Generation (RAG), a technology that combines information retrieval with language generation to enhance AI applications. It covers fundamental concepts, key terms, and a series of posts addres…
The article, based on insights from AI practitioner Skylar Payne, identifies common anti-patterns in Retrieval-Augmented Generation (RAG) systems that degrade performance. Key mistakes include silent failures during data…
I cannot produce the requested output because the article body you provided is not an article—it is a set of instructions for an AI agent. There is no factual content about a company, its financials, or any period to sum…