langchain.storage.encoder_backed
.EncoderBackedStore¶
- class langchain.storage.encoder_backed.EncoderBackedStore(store: BaseStore[str, Any], key_encoder: Callable[[K], str], value_serializer: Callable[[V], bytes], value_deserializer: Callable[[Any], V])[source]¶
Wraps a store with key and value encoders/decoders.
Examples that uses JSON for encoding/decoding:
import json def key_encoder(key: int) -> str: return json.dumps(key) def value_serializer(value: float) -> str: return json.dumps(value) def value_deserializer(serialized_value: str) -> float: return json.loads(serialized_value) # Create an instance of the abstract store abstract_store = MyCustomStore() # Create an instance of the encoder-backed store store = EncoderBackedStore( store=abstract_store, key_encoder=key_encoder, value_serializer=value_serializer, value_deserializer=value_deserializer ) # Use the encoder-backed store methods store.mset([(1, 3.14), (2, 2.718)]) values = store.mget([1, 2]) # Retrieves [3.14, 2.718] store.mdelete([1, 2]) # Deletes the keys 1 and 2
Initialize an EncodedStore.
Methods
__init__
(store, key_encoder, ...)Initialize an EncodedStore.
mdelete
(keys)Delete the given keys and their associated values.
mget
(keys)Get the values associated with the given keys.
mset
(key_value_pairs)Set the values for the given keys.
yield_keys
(*[, prefix])Get an iterator over keys that match the given prefix.