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After uploading some documents to your collection, you can start querying them. Below are some examples of how to do this using the ZeroEntropy SDK for Python and TypeScript.

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Query for top k documents

In the examples/upload section, we uploaded a document with the text “My favorite apple is the Granny Smith.”. 
from zeroentropy import ZeroEntropy
zclient = ZeroEntropy()

# Assume you have already added documents to the collection "default"
response = zclient.queries.top_documents(
    collection_name="default",
    query="What is the best apple?",
    k=1,
)

print(response.results)

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Query for top k pages

In the examples/upload section, we uploaded a document with two pages of text about apples and search. 
from zeroentropy import ZeroEntropy
z = ZeroEntropy()
# Assume you have already added documents to the collection "pages"
response = zclient.queries.top_pages(
    collection_name="pages",
    query="What is the best apple?",
    k=1,
    include_content=True,
)
print(response.results)

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Query for top k snippets with metadata filtering

In the examples/upload section, we uploaded a pdf which was an arxiv paper about RAG evaluation in the “pdfs” collection. The pdf was uploaded with the metadata "arxiv" and "research". 
from zeroentropy import ZeroEntropy
zclient = ZeroEntropy()

# Assume you have already added documents to the collection "pdfs"
response = zclient.queries.top_snippets(
    collection_name="pdfs",
    query="What is Retrieval Augemented Generation?",
    k=1,
    filter={
        "list:tags": {
            "$in": ["arxiv"]
        }
    },
    precise_responses=True,
    reranker="zerank-1", # Use our Reranker as a post-processing step
)

print(response.results)
For more information on metadata filtering, see the metadata filtering section.
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