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SereneDB Blog

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v0.7.0

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.

llama.cpp11 min read

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llama.cpp1 min read

Latest AI News

  • The State of Serene, September 2026

    Issue #4 of The State of Serene: faster search on every core and from a cold cache, regex and fuzzy search that always answer, text analyzers as expressions, HNSW, the docs inside the binary, OpenTelemetry ingestion, faster time histograms, MATCH_RECOGNIZE, spatial and AI functions.

    SereneDB Blog26 min read

  • SereneDB vs ClickHouse

    We ran 92 search and analytics queries over 100M, 1B and 10B OpenTelemetry logs against ClickHouse 26.8 with its new text index and SereneDB, all on a single instance.

    SereneDB Blog20 min read

  • SereneDB vs Elasticsearch vs OpenSearch vs CrateDB

    We ran 92 search and analytics queries over 100M and 1B OpenTelemetry logs against Elasticsearch 9.5, its new columnar index mode, OpenSearch, CrateDB and SereneDB.

    SereneDB Blog20 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

  • 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

  • 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

  • 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

  • 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

  • The State of Serene, June 2026

    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.

    SereneDB Blog7 min read

  • Why SQL Is the Right Language for Search-OLAP

    Why SQL is the right language for Search-OLAP: BM25 scores and vector distances belong in the same query plan as your joins and aggregations.

    SereneDB Blog7 min read

  • A demo trilogy: Vectorizer and Hybrid search

    Keep embeddings next to your data: how SereneDB runs vector similarity and hybrid search and manages embeddings under one index, with no separate vector database to sync.

    SereneDB Blog7 min read

  • A demo trilogy: one SQL, three access modes

    Three demos run the same SQL — Elasticsearch-grade ranked search plus relational analytics — over remote Parquet, local files and a native SereneDB table, without changing the query.

    SereneDB Blog11 min read

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