What is Haystack — AI Orchestration for Search & RAG?

Open-source AI orchestration framework by deepset. Build production RAG pipelines, semantic search, and agent workflows with modular components. 25K+ GitHub stars.

Is Haystack — AI Orchestration for Search & RAG free to use?

Yes. Haystack — AI Orchestration for Search & RAG is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install Haystack — AI Orchestration for Search & RAG?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

Haystack — AI Orchestration for Search & RAG

from haystack import Pipeline from haystack.components.generators import OpenAIGenerator from haystack.components.builders import PromptBuilder prompt = PromptBuilder(template="Answer: {{query}}") 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": {"query": "What is RAG?"}}) print(result["llm"]["replies"][0])

Core Concepts

Pipelines

Compose components into DAGs — each component does one thing well:

pipe.add_component("converter", HTMLToDocument())
pipe.add_component("splitter", DocumentSplitter(split_length=200))
pipe.add_component("embedder", OpenAIDocumentEmbedder())
pipe.add_component("writer", DocumentWriter(document_store=store))
pipe.connect("converter", "splitter")
pipe.connect("splitter", "embedder")
pipe.connect("embedder", "writer")

Component Library

50+ built-in components: document converters, splitters, embedders, retrievers, rankers, generators, and more.

Document Stores

Pluggable storage: Elasticsearch, Qdrant, Pinecone, Weaviate, ChromaDB, pgvector, and in-memory.

Evaluation

Built-in evaluation metrics for RAG quality: faithfulness, context relevance, answer relevance.

FAQ

Q: What is Haystack? A: An open-source AI orchestration framework by deepset for building production RAG, search, and agent pipelines with modular components. 25K+ GitHub stars.

Q: How is Haystack different from LangChain? A: Haystack uses a strict pipeline/DAG model with typed components, making it more predictable for production. LangChain is more flexible but less structured.

Haystack — AI Orchestration for Search & RAG

先拿来用，再决定要不要深挖

Core Concepts

Pipelines

Component Library

Document Stores

Evaluation

FAQ

来源与感谢

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