# jina-ai/serve

☁️ Build multimodal AI applications with cloud-native stack

Repository: https://github.com/jina-ai/serve
Canonical: https://ross.abutalabs.com/products/serve
Homepage: https://jina.ai/serve
Language: Python
License: Apache-2.0
License Family: permissive
Topics: neural-search, cloud-native, deep-learning, machine-learning, framework, grpc, kubernetes, multimodal, mlops, pipeline, fastapi, generative-ai, docker, jaeger, llmops, opentelemetry, cncf, microservice, orchestration, prometheus
Last push: 2025-03-24T13:59:54+00:00

## Health v2 (maintenance only)
Score: 40/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 13, release rhythm 40, longevity 100
- inputs: {"age_days": 2393, "days_push": 527, "days_rel": 659, "gap_med": 1, "n_releases_24m": 18}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 21861, forks 2243 (observed 2026-08-28T04:11:32.160092+00:00)

## What it is
Jina-serve is a Python framework for building and deploying multimodal AI services that communicate via gRPC, HTTP, and WebSockets. It provides Executors, Deployments, and Flows for composing ML pipelines with built-in scaling, streaming, dynamic batching, Docker containerization, and Kubernetes deployment.

## Use cases
- serve an LLM with streaming output over gRPC
- deploy machine learning models as scalable microservices
- build multimodal AI pipelines with dynamic batching
- deploy AI services on Kubernetes with Docker Compose
- wrap Hugging Face transformers into a production API
- scale model inference from local dev to production
- build a neural search service

## When to choose
- you need production-grade serving of ML/LLM models with scaling and streaming
- you want built-in containerization, orchestration, and cloud deployment in one framework
- you need gRPC, HTTP, and WebSocket support with typed document data structures
- you want observability via OpenTelemetry/Prometheus out of the box

## When to avoid
- you only need a simple REST API without ML-specific orchestration - FastAPI is lighter
- you need a single-process inference server with no scaling requirements
- you want a framework-agnostic tool outside the Jina/DocArray ecosystem
- you depend on very recent releases - development has slowed since early 2024

## Facets
- artifact type: framework
- maturity: active
- function: web-framework, rpc, microservices, llm-inference, machine-learning, deployment, container-orchestration, streaming, monitoring
- domain: machine-learning, deep-learning, large-language-models, developer-tools, cloud-computing, microservices, apis
- platform: python, cross-platform, cloud, cli
- tags: mlops, grpc, multimodal, neural-search, executor-hub, docarray, llm-serving, cloud-native, cncf, opentelemetry, fastapi-alternative, docker, kubernetes

## Member repositories
- jina-ai/serve (main) score 40

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:32.160092+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:57:46.675272+00:00, confidence not recorded.
  - readme: https://github.com/jina-ai/serve (fetched 2026-08-28T04:11:32.160092+00:00, sha 23d55d19fb67)
  - homepage: https://jina.ai/serve (fetched 2026-08-29T07:56:15.583183+00:00, sha 4663ae4024c0)
  - site_page: https://jina.ai/serve/get-started/install (fetched 2026-08-29T07:56:15.586352+00:00, sha 7ea44d431f57)
  - site_page: https://jina.ai/serve/get-started/install/docker (fetched 2026-08-29T07:56:15.589277+00:00, sha da3e5067d295)
  - site_page: https://jina.ai/serve/get-started/install/apple-silicon-m1-m2 (fetched 2026-08-29T07:56:15.591552+00:00, sha ca2782eaac02)
  - site_page: https://jina.ai/serve/get-started/install/windows (fetched 2026-08-29T07:56:15.593605+00:00, sha 2fd2e772c8db)
  - site_page: https://jina.ai/serve/get-started/install/troubleshooting (fetched 2026-08-29T07:56:15.595298+00:00, sha 204bc2dc2b89)
  - site_page: https://jina.ai/serve/proto/docs (fetched 2026-08-29T07:56:15.597283+00:00, sha 6c89f4d39d7e)
- Data as of 2026-08-30T08:39:29.467469+00:00.