AI Document Intelligence
Store files, retrieve with RAG, ask questions and find relationships across documents — useful for organizations with many meeting minutes or legal teams checking laws and regulations.
AI Document Intelligence streamlines data processing across many kinds of documents and provides insights for better decision-making.
AI Document Intelligence
How it works
Store documents
Files are stored in one document repository
Retrieve with RAG
Relevant content is retrieved from documents to answer questions
Ask the documents
Users ask questions and get answers from document content
Link related files
Finds the same topic appearing across several documents
These steps are arranged from the existing content of this page.
Key capabilities
- File storage in one document repository
- RAG — retrieve relevant content from documents to answer questions
- Q&A over documents
- Find relationships across files, such as the same topic appearing in several documents
Who it is for
- Organizations with a large volume of meeting minutes
- Legal teams checking laws, rules and regulations
More use cases
StreamGPT Platform
Stream’s AI Agent Platform lets organizations deploy AI assistants securely within their own infrastructure, using company knowledge to improve productivity, decision-making and operational efficiency.
View use case
AI Order Recommendation
An app for brand owners and manufacturers: AI analyzes historical and contextual data to recommend the right products and quantities to sales reps and dealers, with pricing, stock checks and truck-load planning.
View use case
AI Financial Report Analysis
AI that analyzes financial statements, financial-status risk, statement accuracy, consistency with the auditor’s report and 3-year business trends — built by Stream for a regulator, specifically for supervision.
View use case