Features
Unified API for vector search and LLM text generation
Semantic search via .search() on custom datasets
Multi-model LLM support (OpenAI, Google, and more)
Easy data ingestion via .add()
JavaScript and Python SDKs
Automatic embedding management
Context-aware prompting with retrieved documents
API dashboard for key management and usage monitoring
Zapier integration for no-code workflows
Tutorials for building Q&A over Notion tables and documentation
Supports models like openai/gpt-3.5-turbo-16k and google/bison
Import OpenAPI/Swagger specs
API debugger with response validation
Automated testing with filter rules
AI-generated test cases and test data
AI refinement of API documentation
CI/CD integration via CLI
OAuth 2.0 auto token refresh
On-premises email invitations with customizable templates
Object-type and reference-type param support in OpenAPI
Test Suites with static/dynamic collections
Natural language CLI commands via Claude Skills
Release diff and version comparison
