create_cache

Create a new cache with specified configuration

create_cache

Create a new cache with specified configuration.

def create_cache(
    name: str,
    model: str,
    gguf_file: str,
    filters: Optional[Dict[str, Any]] = None,
    docs: Optional[List[str]] = None,
) -> Dict[str, Any]

Parameters

• name (str): Name of the cache to create
• model (str): Name of the model to use (e.g. “llama2”)
• gguf_file (str): Name of the GGUF file to use for the model
• filters (Dict[str, Any], optional): Optional metadata filters to determine which documents to include. These filters will be applied in addition to any specific docs provided.
• docs (List[str], optional): Optional list of specific document IDs to include. These docs will be included in addition to any documents matching the filters.

Returns

• Dict[str, Any]: Created cache configuration

Example

from databridge.sync import DataBridge

db = DataBridge()

# This will include both:
# 1. Any documents with category="programming"
# 2. The specific documents "doc1" and "doc2" (regardless of their category)
cache = db.create_cache(
    name="programming_cache",
    model="llama2",
    gguf_file="llama-2-7b-chat.Q4_K_M.gguf",
    filters={"category": "programming"},
    docs=["doc1", "doc2"]
)