v0.6.0

New Experiments

• New SuperComponent abstraction that allows to wrap any pipeline into a friendly component interface and to create your own super components 1

from haystack_experimental import SuperComponent

# rag_pipeline = basic RAG pipeline with retriever, prompt builder, generator and answer builder components

input_mapping = {
    "search_query": ["retriever.query", "prompt_builder.query", "answer_builder.query"]
}
output_mapping = {
    "answer_builder.answers": "final_answers"
}

wrapper = SuperComponent(
    pipeline=rag_pipeline,
    input_mapping=input_mapping,
    output_mapping=output_mapping
)

result = wrapper.run(search_query="What is the capital of France?")
print(result["final_answers"][0])

• New AsyncPipeline that can schedule components to run concurrently 2

Other Updates:

• Added a debug/tracing script to compare two pipeline runs with the old and new pipeline run logic 3
• Changed LLMMetadaExtractor to use ChatGenerator instead of Generator 4

Full Changelog: v0.5.0...v0.6.0