clear

Example:

from langchain_openai import OpenAIEmbeddings

cache = RedisSemanticCache(
    embeddings=OpenAIEmbeddings(),
    redis_url="redis://localhost:6379",
    name="my_semantic_cache"
)

# Add some entries to the cache
cache.update(
    "What is the capital of France?",
    "llm1",
    [Generation(text="Paris")]
)
cache.update(
    "Who wrote Romeo and Juliet?",
    "llm2",
    [Generation(text="Shakespeare")]
)

# Clear all entries
cache.clear()

# After this, all entries in the semantic cache will be removed

Note:

• This method clears all entries in the semantic cache, regardless of their content or similarity.
• It uses the underlying cache implementation's clear method, which efficiently removes all entries.
• This operation is irreversible. Make sure you want to clear all cached data before calling this method.
• After clearing, the cache will be empty, but the index structure is maintained and ready for new entries.
• This method is useful for resetting the cache or clearing out old data, especially if the nature of the queries or the embedding model has changed significantly.