Backend and API
Spring Boot, FastAPI, and service-oriented architectures can support secure integration, business rules, and data access layers.
Technology
A technology ecosystem evaluated by enterprise scenario
Technology choices are considered according to data type, scale, security, maintenance model, and integration needs.
Architecture approach
Application, data, and AI layers are designed together
The goal is not to force a single product, but to evaluate technology components in the right combination for each enterprise's security, data, integration, and operational constraints.
Frontend and experience
Astro, Angular, and modern web approaches support fast, maintainable interfaces suitable for enterprise use.
Data and AI infrastructure
PostgreSQL / PGVector, vector database technologies, and S3-compatible object storage can be evaluated together by scenario.
Classification policy
Technologies on this page are classified as technology ecosystem. No official partner, certified partner, or distributor status is implied.
View proof approachTrust Center link
Technology decisions are evaluated with deployment and data-boundary controls listed in the Trust Center.
Trust CenterTechnology ecosystem
Infrastructure components evaluated by scenario
Technology names are referenced only in the context of architecture evaluation and integration scenarios. No official partnership, reseller, or distributor status is implied unless explicitly stated.
- Spring Boot
- Angular
- Python
- FastAPI
- PostgreSQL / PGVector
- Docker
- Cloud architecture
- On-premise architecture
- Qdrant
- Weaviate
- MinIO
- Zilliz/Milvus
Next step
Let's assess your use case and existing systems.
Share your document types, knowledge sources, security boundaries and target outcome. We will identify the most appropriate starting scope together.