proomt

Search

Search posts, papers, and topics

search

RSS
  1. 2

    Show HN: Scry, programmable internet search w/ congestion pricing

    Scry is a read‑only, SQL‑like search service that lets LLM agents query billions of public‑web records (e.g. Reddit, Hacker News, academic papers) via a single MCP or HTTP endpoint. It enforces per‑query limits (deadline, memory, row cap), offers schema discovery, explain, rerank, and compile APIs, and reports freshness per source (e.g. Hacker News <15 min). In a DeepSearchQA benchmark Scry‑enabl…

    Hacker News front pagescry.io28 minreleaseHN6025
  2. 3

    Self-Evolving Search Index

    The paper introduces SELF-INDEX, a framework that lets a search index automatically diagnose retrieval failures, revise its keys, and validate changes, using a query simulator to anticipate future queries. Experiments show consistent gains across corpora and downstream LLM agents.

    Hugging Face Daily Papersarxiv.org1 minpaper
  3. 7

    The Web Search Your Agent Inherited Isn't Good Enough

    Omnigent is a unified agent definition layer that lets you write an LLM‑agent once and run it on any harness (Claude Code, Codex, raw API). By plugging Nimble’s specialized web‑search API into the Omnigent web_search builtin, you get consistent, deeper, and cheaper web results – benchmark accuracy jumps from 46 % to 71 % and search cost halves. All model calls go through Databricks Foundation Mod…

    Databricksdatabricks.com7 min
  4. 8

    ML based ranking using Nrtsearch

    Yelp added an Inference Plugin to Nrtsearch that runs XGBoost and neural‑network models inside the search engine, eliminating a separate scoring service. The plugin extracts features from index documents, loads MLeap bundles from MLflow, and serves predictions on replica nodes with millisecond latency.

    Yelp Engineeringyelp.com7 min
  5. 9

    Elastic announces GA of cross-project search on Serverless, enabling teams to query across all linked projects without moving a byte

    Elastic Cloud Serverless now offers General Availability of Cross‑Project Search (CPS), letting you run a single query across up to 100 linked projects (any region, cloud, or solution type) without moving data. Setup is UI‑driven, permissions are evaluated per‑project, and costs are $0.009 / GB retained plus $0.05 / GB egress. CPS works for Observability, Security, Search, vector DB, and ML jobs,…

    Elasticelastic.co6 minrelease