Skills2026年4月2日·1 分钟阅读
Haystack — Production RAG & Agent Framework
Build composable AI pipelines for RAG, agents, and search. Model-agnostic, production-ready, by deepset. 18K+ stars.
TO
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快速使用
先拿来用，再决定要不要深挖
这里应该同时让用户和 Agent 知道第一步该复制什么、安装什么、落到哪里。
```bash
pip install haystack-ai
```
```python
from haystack import Pipeline
from haystack.components.generators import OpenAIGenerator
from haystack.components.builders import PromptBuilder
prompt = PromptBuilder(template="Answer: {{question}}")
llm = OpenAIGenerator(model="gpt-4o")
pipe = Pipeline()
pipe.add_component("prompt", prompt)
pipe.add_component("llm", llm)
pipe.connect("prompt", "llm")
result = pipe.run({"prompt": {"question": "What is RAG?"}})
print(result["llm"]["replies"][0])
```
🙏
来源与感谢
- GitHub: [deepset-ai/haystack](https://github.com/deepset-ai/haystack)
- License: Apache 2.0
- Stars: 18,000+
- Maintainer: deepset GmbH
Thanks to the deepset team for building the most production-oriented RAG framework, proving that AI pipelines can be both composable and reliable enough for enterprise deployment.
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