Sep 1, 2026
What if deploying a production-ready Retrieval-Augmented Generation (RAG) API took minutes instead of weeks?
In this demo, you'll see how to go from zero infrastructure to grounded AI answers using Progress Agentic RAG. Learn how to create API credentials, upload documents, trigger ingestion, monitor processing, inspect extracted content, and query your knowledge base using simple REST API calls.
You'll also see how built-in retrieval, hybrid search, citations, embeddings, and document processing work behind the scenes without requiring you to build or manage complex pipelines.
What You'll Learn
- Generate and manage API keys
- Configure your Knowledge Box endpoint
- Upload and ingest documents via API
- Monitor document processing status
- Inspect extracted text and indexed content
- Query documents using natural language
- Use grounded answers with paragraph-level citations
- Perform retrieval-only searches with the /find endpoint
- Understand hybrid semantic + keyword search
Why It Matters
Progress Agentic RAG handles extraction, chunking, embedding, indexing, retrieval, and citation management for you. That means developers can focus on building AI applications instead of maintaining infrastructure.
Whether you're building AI assistants, enterprise search experiences, customer support tools, or knowledge-driven applications, this walkthrough shows the fastest path from document upload to trustworthy, grounded answers.
Resources
Documentation //docs.rag.progress.cloud/docs
Developer Guides https://docs.rag.progress.cloud/docs/develop/intro/
