Semantic Suite is an enterprise-grade Retrieval Augmented Generation (RAG) platform that provides intelligent document processing, semantic search, and AI-powered responses as a service. Our platform eliminates the complexity of building and maintaining your own RAG infrastructure.
Ingest text, PDFs, audio files, and documents with automatic processing and vectorization
Advanced vector-based search that understands context and meaning, not just keywords
Organize your knowledge base with custom topics for easy filtering and retrieval
Attach JSON objects to items for advanced filtering and custom metadata storage
Built-in LLM with automatic RAG integration for conversational, context-aware responses
The fundamental unit of information in Semantic Suite. An item represents a piece of content you've uploaded—whether text, a document, or audio. Each item can be tagged with a topic and enriched with custom metadata.
{
"id": 362,
"topic": "docs",
"timestamp": "2025-11-29T02:27:52.231031",
"object": { "author": "John Doe", "department": "Engineering" },
"file": "sample.pdf",
"file_url": "https://..."
}When you upload an item, Semantic Suite automatically breaks it down into semantically meaningful chunks called sentences. These are vectorized and stored for optimal retrieval. Each sentence maintains its position and page reference within the original document.
{
"sentence": "Semantic Suite provides RAG as a service",
"position": 0,
"page": 1
}Organizational labels that help you categorize and filter your content. Topics enable you to segment your knowledge base for more targeted searches and better organization.
{
"id": 1,
"name": "product-docs"
}Optional JSON metadata that can be attached to any item. Use objects for advanced filtering, custom properties, or storing additional context about your documents.
{
"author": "Jane Smith",
"department": "Marketing",
"confidential": false,
"tags": ["presentation", "Q4-2024"],
"custom_field": "any value"
}Semantic Suite is perfect for:
Build AI-powered chatbots with document knowledge for instant, accurate customer support responses
Create searchable knowledge bases with semantic search that understands context and intent
Process and analyze large document repositories with automatic vectorization and intelligent search
Implement question-answering systems that provide accurate, context-aware responses from your data
Build recommendation engines that help users discover relevant documents and information
Automate information extraction from audio recordings and documents for easy searchability