Technology
unstructured
Unstructured provides open-source libraries and APIs to ingest and prep messy, unstructured data for RAG and LLM applications.
Unstructured automates the extraction of text and metadata from over 25 file types, including PDFs, PowerPoint decks, and HTML. By utilizing specialized ML models to identify document elements like tables and headers, the platform transforms raw files into clean, machine-readable JSON. This pipeline bridges the gap between static enterprise data and vector databases like Pinecone or Weaviate, ensuring high-quality retrieval for production-grade AI.
What builders pair with unstructured
Projects using both technologies. Select a pairing to see a project.
Pairing: gpt-5+
AI-Agents that learn from humans-in-the-loop
Pairing: Graph RAG
AI-Agents that learn from humans-in-the-loop
Pairing: Neo4j
AI-Agents that learn from humans-in-the-loop
Pairing: Qdrant
AI-Agents that learn from humans-in-the-loop
Recent Talks & Demos
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