from haystack import Document, Pipeline
from haystack.components.joiners import DocumentJoiner
from haystack.components.retrievers.in_memory import (
    InMemoryBM25Retriever,
    InMemoryEmbeddingRetriever,
)
from haystack.document_stores.in_memory import InMemoryDocumentStore
from haystack_integrations.components.embedders.sentence_transformers import (
    SentenceTransformersDocumentEmbedder,
    SentenceTransformersTextEmbedder,
)


documents = [
    Document(
        id="hybrid-search",
        content="Hybrid retrieval combines keyword matching with semantic search.",
    ),
    Document(
        id="bm25-keywords",
        content="BM25 finds exact terms such as product names and error codes.",
    ),
    Document(
        id="vector-meaning",
        content="Embedding search finds related meaning despite different wording.",
    ),
    Document(
        id="coffee-notes",
        content="Coffee brewing depends on water temperature and grind size.",
    ),
]