Unstructured and Pinecone Expand Partnership to Power Next-Generation AI Applications
Unstructured and Pinecone are collaborating to help teams build intelligent systems grounded in enterprise data. By combining Unstructured with Pinecone’s high-performance vector database, this partnership enables developers to deploy advanced AI workflows, like RAG and agentic systems, on real-world content, fast.
Integration Capabilities
The strength of any AI application depends on the quality of its inputs. Traditional ingestion pipelines often strip context, flatten structure, and discard metadata that models need for reliable generation or decision-making. Unstructured solves this by extracting semantic content from complex documents, preserving structure through intelligent chunking, and enriching it with layout, entity, and table-level metadata.
Pinecone takes over from there—leveraging Unstructured's output into a vector database that's low‑latency, production‑grade, metadata‑aware, and auto-scalable.
Use Cases
This integration is available through the fully managed Unstructured Platform. The result: less time stitching components together, more time building downstream GenAI applications. For a guided, hands-on experience, explore our step-by-step, no-code tutorial on transforming files from S3 to Pinecone using the Unstructured Platform UI.
Get Started
Relevant Blogs
Unstructured
Together, Unstructured and Pinecone deliver high-quality document processing and retrieval infrastructure that’s ready for real-world scale and complexity—powering a new generation of intelligent, document-aware systems.
Need help getting started? Let’s talk about your project.
