HFresh: Memory-Efficient Vector Search
HFresh is Weaviate's disk-based vector index for memory-efficient vector search, combining low heap usage with incremental background maintenance.
Weaviate12 min read
search
55 stories
Building Foundry Part 3: From archive to creative search
Part 3: We turn a messy creative archive into a searchable library using a manifest, Weaviate, and hybrid search.
Weaviate5 min read
SereneDB vs ParadeDB vs TigerData vs Postgres
We ran 92 search and analytics queries over 100M and 1B OpenTelemetry logs against vanilla Postgres, ParadeDB with pg_search, TigerData with pg_textsearch and SereneDB.
SereneDB Blog24 min read
SereneDB meets LangChain: A Vector Store for RAG Pipelines
SereneDB has built a VectorStore integration package for LangChain, pairing flexible AI orchestration with the analytical power of a full-featured database.
SereneDB Blog14 min read
The State of Serene, August 2026
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.
SereneDB Blog16 min read
How to extract meaning from charts and tables in PDFs
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.
Weaviate12 min read
3 new ways to plan and book travel in Search
Book hotels and track airfares, plus view miles and rewards with AI Mode in Google Search.
Google AI Blog4 min read5 ways to upgrade your home decor with Google Search
Learn how to use Google Search tools to find home decor inspiration, shop for furniture, and tackle DIY projects.
Google AI Blog4 min read
How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog11 min read
5 new ways to level up your learning with Search
Here’s how you can use Google Search tools to study for classes and standardized tests.
Google AI Blog4 min read
Building Foundry Part 2: Where creative workflows break
Part 2: Why folders, tags, and keyword search break down in real creative workflows and what retrieval needs to do instead.
Weaviate5 min read
Scaling Test-Time Compute in Search Mode
Introducing medium, high, and ultrahigh effort tiers to the Query Agent's Search Mode.
Weaviate7 min read
Build a search index on someone else's database
Build a SereneDB full-text index over tables in Postgres or ClickHouse, choose which columns stay local and query the results through SQL.
SereneDB Blog13 min read
A Deep (and Fuzzy) Dive Into Search
Six years ago, when we first shipped fuzzy search (yes, without agents!), we wrote up the two algorithms
SereneDB Blog18 min read
Serene Docs Search: a small, open-source alternative to Algolia DocSearch
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.
SereneDB Blog8 min read
The State of Serene, July 2026
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.
SereneDB Blog17 min read
Building Foundry: AI isn’t replacing creativity, it’s removing friction
Why AI won’t replace creatives, and how it can remove friction from messy workflows, lost files, and creative processes.
Weaviate6 min read
SereneDB vs ArangoDB on search performance
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.
SereneDB Blog20 min read
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