jina-ai/serve
☁️ Build multimodal AI applications with cloud-native stack
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Jina-serve is a framework for building and deploying AI services that communicate via gRPC, HTTP and WebSockets. Scale your services from local development to production while focusing on your core logic. Comparison with FastAPI Key advantages over FastAPI: See guides for Apple Silicon and Windows. Three main layers: Let's create a gRPC-based AI service using StableLM: Deploy with Python or YAML:…
Read the full README ↗ · Preview checked 2026-10-27T10:19:24.076Z
Inside the original README — Document outline
- Jina-Serve
- Key Features
- Install
- Core Concepts
- Build AI Services
- Build Pipelines
- Scaling and Deployment
- Local Scaling
- Cloud Deployment
- Containerize Services
- Deploy to Kubernetes
- Use Docker Compose
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Links from the README
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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
☁️ Build multimodal AI applications with cloud-native stack
Repository facts
- Owner
- jina-ai
- Primary language
- Python
- Stars
- 21,852
- Forks
- 2,237
- Open issues + pull requests
- 25
- License
- Apache-2.0
- Archived
- No
- Default branch
- master
- Created
- 2020-02-13T17:04:44.000Z
- Last push
- 2025-03-24T13:59:54.000Z
Topics and intended use
Owner-supplied topics: cloud-native, cncf, deep-learning, docker, fastapi, framework, generative-ai, grpc, jaeger, kubernetes, llmops, machine-learning, microservice, mlops, multimodal, neural-search, opentelemetry, orchestration, pipeline, prometheus
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Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-31T12:19:22.904Z. Daily imports are snapshots, not real-time monitoring.
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