"Payload has transformed the way our clients manage content. It's an indispensable tool for any modern agency."
AI Auto-Embedding
Coming Soon
The first CMS built for RAG
Payload is the only CMS that puts retrieval-augmented generation (RAG) on easy mode, giving you complete control over how your content is chunked and converted into vector embeddings.
Easily structure content into vector embeddings for AI applications.
How it works
Payload enables RAG (Retrieval-Augmented Generation) by adding vector indexes directly into your existing database. You control every step of the process, from converting your document from JSON to text to defining the chunking strategy. Payload just makes it easy.
When you save a document, Payload executes your chunking strategy, breaking the document into semantic chunks.
Chunk using whichever method is appropriate for your content. You are in full control.
Based on the AI adapter you're using, Payload then creates vector embeddings for each chunk and stores them directly in your database. No additional database needed.
Your database now contains vector embeddings created from your content, and they are automatically kept in sync as your content changes.
ENTERPRISE SECURITY
Deliver the right content to the right users with access control
After vectorizing your data, Payload’s elegant user-by-user access control customizes content delivery based on permissions.
The LLM will only retrieve the specific content allowed for each user, ensuring that security and accuracy are never compromised.
Use Cases
Build real-world applications
Internal chatbot
Get accurate answers faster from your knowledge base with RAG-powered search.
Similarity search
Deliver more accurate and relevant results to users based on semantic similarity.
Generative UI
Generate real-time, personalized UI components to create a dynamic user experience.
Digital Asset Management
Modernize your digital asset management through intelligent, context-aware search.
Connect with us.
Whether you need help from our active community or have questions about using Payload at the enterprise level, we’re here to help.