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cache_embeddings() — langchain Function Reference

Architecture documentation for the cache_embeddings() function in test_caching.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  7249f76d_02e5_e26a_1b16_ae9f490a7df4["cache_embeddings()"]
  6b1a1e58_d1bc_2756_cc7d_9c01f64a73a2["test_caching.py"]
  7249f76d_02e5_e26a_1b16_ae9f490a7df4 -->|defined in| 6b1a1e58_d1bc_2756_cc7d_9c01f64a73a2
  style 7249f76d_02e5_e26a_1b16_ae9f490a7df4 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/embeddings/test_caching.py lines 35–43

def cache_embeddings() -> CacheBackedEmbeddings:
    """Create a cache backed embeddings."""
    store = InMemoryStore()
    embeddings = MockEmbeddings()
    return CacheBackedEmbeddings.from_bytes_store(
        embeddings,
        store,
        namespace="test_namespace",
    )

Domain

Subdomains

Frequently Asked Questions

What does cache_embeddings() do?
cache_embeddings() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/embeddings/test_caching.py.
Where is cache_embeddings() defined?
cache_embeddings() is defined in libs/langchain/tests/unit_tests/embeddings/test_caching.py at line 35.

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