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
Source
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.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free