Author: Ignacio Paz

We’re excited to share a new partner integration: kreuzberg-surrealdb , a connector that bridges the Kreuzberg document intelligence framework directly into SurrealDB. This integration was created by the Kreuzberg team and we are excited to have this functionality available now in SurrealDB.

Kreuzberg extracts, chunks, and generates embeddings from 88+ document formats, while SurrealDB provides a multi-model database for AI applications, combining documents, graphs, vectors, and full-text search in a single system.

Together, they make it easy to build document search and RAG pipelines.

What the integration does

kreuzberg-surrealdb handles the full ingestion workflow:

Automatic schema setup

Content deduplication using SHA-256 hashing

Storage and indexing in SurrealDB

Documents ready for search immediately after ingest

The integration supports two modes:

DocumentConnector:indexes full documents for BM25 keyword search.

DocumentPipeline:chunks documents, generates embeddings, and…