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get_cache

Get a cache by name.

def get_cache(name: str) -> Cache

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Parameters

  • name (str): Name of the cache to retrieve

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Returns

  • Cache: A cache object that is used to interact with the cache.

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Example

from databridge.sync import DataBridge

db = DataBridge()

cache = db.get_cache("programming_cache")

# Update the cache with new documents
cache.update()

# Add specific documents to the cache
cache.add_docs(["doc3", "doc4"])

# Query the cache
response = cache.query(
    "What are the key concepts in functional programming?",
    max_tokens=500,
    temperature=0.7
)
print(response.completion)

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Cache Methods

The Cache object returned by this method has the following methods:

  • update(): Update the cache with any new documents matching the original filters
  • add_docs(docs: List[str]): Add specific documents to the cache
  • query(query: str, max_tokens: Optional[int] = None, temperature: Optional[float] = None): Query the cache
create_cache