Skip to main content
Integrationrag-pipelinesv1.0

Docling + Weaviate

by IBM / Weaviate · open-source · Last verified 2026-03-17

Combines IBM's Docling document conversion library with Weaviate's vector database for structured RAG pipelines. Docling extracts rich document structure (tables, figures, headings) which is then stored as typed Weaviate objects with native vector indexing.

https://ds4sd.github.io/docling/integrations/weaviate/
C
CBelow Average
Adoption: CQuality: B+Freshness: A+Citations: CEngagement: F

Specifications

License
MIT
Pricing
open-source
Capabilities
structured-extraction, table-parsing, figure-captioning, vector-upsert, schema-mapping
Integrations
docling, weaviate
Use Cases
scientific-document-rag, financial-report-qa, technical-manual-retrieval
API Available
Yes
Tags
rag, docling, weaviate, document-parsing, vector-store, ibm
Added
2026-03-17
Completeness
100%

Index Score

44.8
Adoption
48
Quality
78
Freshness
92
Citations
40
Engagement
0

Put AI to work for your business

Deploy this integration alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.

Explore the full AI ecosystem on Agents as a Service