Matillion

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Original Documentation

Documentation Index#

Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt Use this file to discover all available pages before exploring further.

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Matillion Data Productivity Cloud is a unified platform that helps your team move faster with one central place to build and manage graphical, low-code data pipelines. It allows data teams to use structured, semi-structured, and unstructured data in analytics; build AI pipelines for new use cases; and be more productive.

Matillion Data Productivity Cloud and Pinecone can be used together for retrieval augmented generation (RAG) use cases, helping to contextualize business insights without code.

Matillion supports 150+ pre-built data source connectors, as well as the ability to build custom connectors to any REST API source system, making it easy to chunk unstructured datasets, create embeddings, and upsert to Pinecone. Matillion’s graphical AI Prompt Components integrate with large language models (LLM) running in OpenAI, Amazon Bedrock, Azure OpenAI, and Snowpark Container Services. They enable no-code lookup of external knowledge stored in Pinecone, enabling data engineers to enrich GenAI answers with contextualized and proprietary data.

<PrimarySecondaryCTA primaryLabel={“Get started”} primaryHref={“https://docs.matillion.com/data-productivity-cloud/designer/docs/pinecone-vector-upsert/"} />

Additional resources#

Link last verified June 7, 2026. View original ↗
Source: Pinecone Docs
Link last verified: 2026-03-04