From c231ecfc621e1cea58a6d40aaa1b59e14f389a14 Mon Sep 17 00:00:00 2001 From: Bernard Paques Date: Tue, 27 Oct 2026 08:05:34 +0100 Subject: [PATCH] Add duckdb-vectors to Data APIs, Integration & AI Access (#395) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit A MCP or embeddable semantic-search building block for agentic systems — hybrid vector + exact-token search over a local DuckDB file, no external vector database. Co-authored-by: David Gasquez --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index baf7898..e3a1f4f 100644 --- a/README.md +++ b/README.md @@ -219,6 +219,7 @@ DuckDB 2.0.0 was released on 2026-10-21: see the [announcement blog post](https: - [VulcanSQL](https://vulcansql.com/) - DuckDB can be used as a caching layer or a data connector in VulcanSQL, a Data API framework for data folks to create REST APIs by writing SQL templates. - [CNEquity](https://github.com/rootSunc/CNEquity) - Self-hosted China A-share market data lake; DuckDB views over its Parquet datasets back SQL queries from the CLI and a read-only `run_sql` tool in its MCP server for AI agents. - [PocketDuck](https://github.com/mailbus/PocketDuck) - Single-binary backend pairing PocketBase (auth, files, realtime) with an embedded DuckDB runtime: read-only analytics API, cross-source joins over Parquet/CSV/SQLite/PostgreSQL/MySQL, and exports to Parquet, PostgreSQL and Excel. +- [duckdb-vectors](https://github.com/bernard357/duckdb-vectors) - MCP or embeddable semantic-search building block for agentic systems — hybrid vector + exact-token search over a local DuckDB file, no external vector database. ### Product, Web & Application Analytics