This Appendix describes the services and subprocessors used by sisTent UG in connection with the provision of the services. This Appendix forms part of the Terms and Conditions and the Data Processing Agreement (DPA). Any changes will be announced to customers at least 10 business days prior to taking effect. Customers have the right to object within this period.
1. Large Language Models (LLMs)
Service Provider
Model / Service
Data Processed
Purpose
Google
Gemini /Vertext AI
Uploaded documents, chat requests, conversations
Generation of text responses, natural language processing
Amazon Web Services
Nova Micro / Bedrock
Uploaded documents, chat requests, conversations
Generation of text responses, natural language processing
Note: All LLMs are used solely on behalf of the customer. Data is not used for training outside the respective customer project.
2. Embedding Services
Service Provider
Model / Service
Data Processed
Purpose
Google
Gemini Embeddings /Vertext AI
Document chunks, text segments
Creation of vector representations for semantic search (RAG)
Amazon Web Services
Titan v2 / Bedrock
Document chunks, text segments
Creation of vector representations for semantic search (RAG)
3. Data Storage
Service Provider
Service
Data
Purpose / Processing
Amazon Web Services
S3
Uploaded documents, chunks, embeddings, backups, application data
Persistent storage of customer data and application components
Amazon Web Services
EC2 / PostgreSQL
Chunks, embeddings, agent configurations, chat histories, user accounts
Storage and management of customers’ relational data
4. Application Deployment
Service Provider
Service
Component
Purpose / Processing
Amazon Web Services
EC2
Web / App Platform
Hosting of the application, provision of the user interface for customers
5. Key Management and Encryption
Service Provider
Service
Daten
Purpose
Amazon Web Services
Secrets Manager
Cryptographic keys
The management of cryptographic keys is handled separately from the stored data.
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