Query understanding
Normalize input, detect language and intent, rewrite queries, and produce AI-assisted decisions.
AI-native search decision engine
Turn user queries into safe retrieval and AI execution plans.
QwenBridge analyzes a query, understands intent, applies safety checks, plans retrieval, and exposes the result through APIs, SDKs, and typed streams.
What it solves
AI search apps need more than a chat box.
Production AI search needs intent understanding, policy checks, retrieval planning, provider isolation, streaming contracts, and operational visibility. QwenBridge packages those concerns into one developer platform.
Without QwenBridge
Every service rebuilds query rewriting, retrieval, provider retries, streaming events, and safety checks.
With QwenBridge
Applications send a query; QwenBridge analyzes, plans, retrieves, and streams a typed production workflow.
Platform primitives
The building blocks for production AI systems.
QwenBridge focuses on the infrastructure layer around AI: understanding, safety, retrieval, streaming, SDKs, contracts, and operational behavior.
Safety controls
Evaluate policies, detect abuse, protect against secret leakage, and isolate unsafe requests.
Retrieval pipelines
Bridge keyword, vector, and hybrid retrieval with ranking, facets, and provider abstraction.
Typed streaming
Expose lifecycle events, token streams, completion states, and failure events through SSE.
SDK integration
Use Java SDK, Spring Boot Starter, and TypeScript SDK entry points for real applications.
Operational readiness
Support health checks, metrics, tracing, structured logging, Docker, Redis, and resilience testing.
Architecture
A bridge between applications, AI providers, search providers, and SDKs.
QwenBridge separates AI providers, search providers, pipeline steps, and execution operations so retrieval and model integrations can evolve independently.
Applications
↓QwenBridge Decision Pipeline
↓Retrieval + Models + Typed Streams
Quick start
Install once the public packages are available.
QwenBridge is being prepared for public distribution through Maven Central and npm.
Maven
<dependency>
<groupId>io.qwenbridge</groupId>
<artifactId>qwenbridge-spring-boot-starter</artifactId>
<version>0.9.1</version>
</dependency>TypeScript
npm install @qwenbridge/sdkLive demo
Try the workflow without running a backend.
The offline demo runs fully in the browser and shows how QwenBridge receives a query, creates a safe execution plan, performs retrieval, and streams lifecycle events.
Open demoAvailable now at /demo
Query → Understanding → Safety → Retrieval → Streaming response
Guides, examples, SDK references, and API contracts are next.
The documentation covers Java starter usage, TypeScript SDK integration, streaming event contracts, retrieval behavior, deployment patterns, operations, and release guidance.