51 stories
Issue #3 of The State of Serene: sloppy phrase search, Lucene query syntax, REINDEX and search over Iceberg, per-node score and merge control, Azure blob storage and a faster postings read path.
PDFs full of charts and tables are notoriously hard to put through a traditional RAG pipeline. In this post, we show how late-interaction multi-vector retrieval lets you search PDFs by what the page looks like: no OCR, no chunking, no text extraction.
Book hotels and track airfares, plus view miles and rewards with AI Mode in Google Search.
Learn how to use Google Search tools to find home decor inspiration, shop for furniture, and tackle DIY projects.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Here’s how you can use Google Search tools to study for classes and standardized tests.
Part 2: Why folders, tags, and keyword search break down in real creative workflows and what retrieval needs to do instead.
Introducing medium, high, and ultrahigh effort tiers to the Query Agent's Search Mode.
Build a SereneDB full-text index over tables in Postgres or ClickHouse, choose which columns stay local and query the results through SQL.
Six years ago, when we first shipped fuzzy search (yes, without agents!), we wrote up the two algorithms
Serene Docs Search is a self-hosted, Apache 2.0-licensed documentation search stack with BM25, optional hybrid search, Ask AI and MCP, powered by SereneDB.
Issue #2 of The State of Serene: term-dictionary facets, IVF vector search, online CREATE INDEX, PostgreSQL RBAC, a ClickHouse connector and the SearchBench numbers against ArangoDB.
Why AI won’t replace creatives, and how it can remove friction from messy workflows, lost files, and creative processes.
One year after we started SereneDB we ran 92 search and analytics queries over 1B OpenTelemetry logs and put the numbers next to ArangoDB to see how far we have come.
When a Weaviate query is slow, the first question is where the time went. Query profiling returns a per-stage, per-shard timing breakdown, making query performance issues visible.
Issue #1 of The State of Serene: what SereneDB is — lakehouse search and analytics for your agents — what it does today, and everything we shipped in June 2026.
Building a code-search system over 14 GB of programming solutions in a data lake — searching Parquet in place, without moving the data.
Microsoft Bing Webmaster Tools introduces four expanded AI performance capabilites in preview: Intents, Topics, Citation Share, and Compare, enhancing publishers' understanding of AI-generated content visibility and citation dynamics.
Showing 36 of 51 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts
