Open SourceRAG & Knowledge Bases

unstructured

Turn complex documents into structured data with an open-source ETL pipeline offering chunking, enrichments, embeddings, and production-ready workflow capabilities to monetize LLM applications at scale.

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AIMasterclass

Want the exact blueprint to monetize unstructured?

The AIMasterclass gives you the step-by-step setup commands, income workflows, and real templates for unstructured — plus 350+ other AI tools. One payment. Lifetime access.

Step-by-step setup guide
6 proven income methods
Ready-to-use templates
Certificate at 50% completion
Get the unstructured Blueprint — $39

Income Methods

SaaS Product
Build a subscription-based SaaS product using unstructured as your core engine. Charge $29–$299/month per customer.
Freelance Services
Offer unstructured-powered freelance services on Fiverr, Upwork, or LinkedIn. Charge $50–$500 per project.
API Monetization
Wrap unstructured behind a REST API and sell API credits. Charge $0.001–$0.01 per call with high-volume discounts.
White-Label Deployment
White-label unstructured for businesses that lack technical staff. Charge a setup fee + monthly retainer.
Consulting & Training
Become a certified unstructured implementation consultant. Charge $100–$300/hour for setup and training.
Content & Community
Build a YouTube channel, newsletter, or course teaching unstructured. Monetize via ads, sponsorships, and paid courses.
See all workflows in the Masterclass

How to make money with unstructured

  1. 1

    Try the Unstructured Platform Product

    Leverage the Try the Unstructured Platform Product capability as detailed in the official documentation.

  2. 2

    Run the library in a container

    Leverage the Run the library in a container capability as detailed in the official documentation.

  3. 3

    :clap: Quick Tour

    Leverage the :clap: Quick Tour capability as detailed in the official documentation.

  4. 4

    Documentation

    Leverage the Documentation capability as detailed in the official documentation.

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Turn a local or Docker deployment into revenue by deploying RAG, scalable AI agents, a No-code agent builder , and MCP-compatible integrations for monetized apps and subscriptions
docling
Convert, clean, and structure documents for generative AI workflows to enable semantic search, fast vectorization, automated ingestion, analytics, and monetizable AI-powered products, APIs, enterprise integration.
quivr
Opinionated RAG platform enabling rapid GenAI integration with any LLM, vectorstore (PGVector/Faiss), files, customization, low-code deployment, analytics, APIs, scaling, white-label branding, subscriptions and SaaS monetization.

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