What is Haystack pipeline
Haystack pipeline is a modular workflow in the haystack framework that connects components like retrievers and generators to process and answer queries over documents. It orchestrates document retrieval and language model generation to build AI-powered search and question answering systems.Haystack pipeline is a modular AI workflow that connects document retrievers and language model generators to deliver context-aware answers from a knowledge base.How it works
A Haystack pipeline acts like a production line for AI-powered document search and question answering. It connects components such as retrievers that find relevant documents and generators that produce natural language answers. When a user query arrives, the pipeline first retrieves relevant documents from a document store, then passes them to a language model to generate a precise, context-aware response. This modular design allows you to customize each step and combine multiple retrievers or generators as needed.
Concrete example
import os
from haystack import Pipeline
from haystack.components.generators import OpenAIGenerator
from haystack.components.retrievers.in_memory import InMemoryBM25Retriever
from haystack.document_stores.in_memory import InMemoryDocumentStore
# Initialize document store and add documents
document_store = InMemoryDocumentStore()
docs = [
{"content": "Haystack is an open-source NLP framework."},
{"content": "Pipelines connect retrievers and generators."}
]
document_store.write_documents(docs)
# Initialize retriever and generator
retriever = InMemoryBM25Retriever(document_store=document_store)
generator = OpenAIGenerator(api_key=os.environ["OPENAI_API_KEY"], model="gpt-4o-mini")
# Create pipeline
pipeline = Pipeline()
pipeline.add_node(component=retriever, name="Retriever", inputs=["Query"])
pipeline.add_node(component=generator, name="Generator", inputs=["Retriever"])
# Run pipeline
result = pipeline.run(query="What is Haystack?", params={"Generator": {"max_length": 100}})
print(result["answers"][0].answer)Haystack is an open-source NLP framework that enables building pipelines connecting retrievers and generators to answer questions.
When to use it
Use a Haystack pipeline when you need to build AI applications that answer questions or search over large document collections with context-aware responses. It is ideal for enterprise search, customer support bots, and knowledge management systems. Avoid using it for simple keyword search without natural language understanding or when you only need a standalone language model without document retrieval.
Key terms
| Term | Definition |
|---|---|
| Pipeline | A modular workflow connecting components to process queries. |
| Retriever | Component that finds relevant documents from a store. |
| Generator | Component that generates natural language answers using an LLM. |
| Document Store | Storage for documents to be searched or retrieved. |
Key Takeaways
- Haystack pipelines modularly connect retrievers and generators for AI-powered QA.
- Use Haystack pipelines to build context-aware document search and answer systems.
- Customize pipelines by swapping or combining retrievers and generators.
- Ideal for enterprise search, chatbots, and knowledge management applications.