def create_cache(
name: str,
model: str,
gguf_file: str,
filters: Optional[Dict[str, Any]] = None,
docs: Optional[List[str]] = None,
) -> Dict[str, Any]
def create_cache(
name: str,
model: str,
gguf_file: str,
filters: Optional[Dict[str, Any]] = None,
docs: Optional[List[str]] = None,
) -> Dict[str, Any]
async 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 createmodel (str): Name of the model to use (e.g. “llama2”)gguf_file (str): Name of the GGUF file to use for the modelfilters (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
Examples
from morphik import Morphik
db = Morphik()
# 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"]
)
from morphik import Morphik
db = Morphik()
# 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"]
)
from morphik import AsyncMorphik
async with AsyncMorphik() as db:
# This will include both:
# 1. Any documents with category="programming"
# 2. The specific documents "doc1" and "doc2" (regardless of their category)
cache = await db.create_cache(
name="programming_cache",
model="llama2",
gguf_file="llama-2-7b-chat.Q4_K_M.gguf",
filters={"category": "programming"},
docs=["doc1", "doc2"]
)
Cache Usage
After creating a cache, you can interact with it using the get_cache method, which returns a Cache object that provides methods for querying and updating the cache.
cache = db.get_cache("programming_cache")
response = cache.query("Explain recursion in programming")
cache = db.get_cache("programming_cache")
response = cache.query("Explain recursion in programming")
cache = await db.get_cache("programming_cache")
response = await cache.query("Explain recursion in programming")
