
Unstructured
@UnstructuredIO
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ETL+ for GenAI data. 👉🏼 Get Started: https://t.co/7Phj5PbxNU
San Francisco, CA
Joined August 2022
Last week we showed you how to go from @awscloud S3 to @qdrant_engine with no code using Unstructured. Now we’ve got a Colab notebook if you’d rather do it programmatically!. 🔧 What it covers:.- Connecting S3 as a source.- Preprocessing with partitioning, chunking, and.
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Check out our new blog post on how to build a fully automated @awscloud S3 → @qdrant_engine pipeline with no code. 🔹 Pull docs from S3.🔹 Enrich with captions, summaries & more.🔹 Embed & push to Qdrant — no orchestration required. 👉 Perfect for getting your data RAG-ready in.
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Make sure to check out our latest e-book for real-world tips and insights on advanced RAG techniques 👇. #AI #GenAI #ETL #ETL+ #RAG #UnstructuredData #LLM #MCP #EnterpriseAI #RAGinProduction #LLMready #Unstructured #TheGenAIDataCompany.
Want to push GenAI performance further than basic vector search and chunking? Our new guide breaks down the latest RAG techniques—from smarter chunking and metadata filtering to GraphRAG, hybrid search, and agentic workflows. What’s inside:.🔹 Why naive RAG fails and how to fix
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Check out our latest document transformation! We parsed this illegible doctor’s note from scribbles to structured data. See more real-life examples in our transformation gallery 👉 #AI #GenAI #ETL #ETL+ #RAG #UnstructuredData #LLM #MCP #EnterpriseAI
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RAG chunking isn’t one-size-fits-all. Maria shares the right questions to ask so you can get it right for your data 👇.
Asking “What is the best chunk size for RAG?” without any additional context is like asking, “What’s the best thing to wear?” Wear where? What’s the weather like? What size are you? Are you going to a wedding or hiking a trail? There’s no single answer that works for every.
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