from_examples() — langchain Function Reference
Architecture documentation for the from_examples() function in semantic_similarity.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 7e87eda1_9870_51e4_5123_cecba78d6242["from_examples()"] 3916b5eb_dc75_c546_ca45_bbc4a24287e8["SemanticSimilarityExampleSelector"] 7e87eda1_9870_51e4_5123_cecba78d6242 -->|defined in| 3916b5eb_dc75_c546_ca45_bbc4a24287e8 f6d64dfc_7955_63ff_b58c_f03972e0c865["from_examples()"] f6d64dfc_7955_63ff_b58c_f03972e0c865 -->|calls| 7e87eda1_9870_51e4_5123_cecba78d6242 f6d64dfc_7955_63ff_b58c_f03972e0c865["from_examples()"] 7e87eda1_9870_51e4_5123_cecba78d6242 -->|calls| f6d64dfc_7955_63ff_b58c_f03972e0c865 5599ebbf_7d2d_cb9f_f035_4928a6716083["_example_to_text()"] 7e87eda1_9870_51e4_5123_cecba78d6242 -->|calls| 5599ebbf_7d2d_cb9f_f035_4928a6716083 style 7e87eda1_9870_51e4_5123_cecba78d6242 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/core/langchain_core/example_selectors/semantic_similarity.py lines 137–178
def from_examples(
cls,
examples: list[dict],
embeddings: Embeddings,
vectorstore_cls: type[VectorStore],
k: int = 4,
input_keys: list[str] | None = None,
*,
example_keys: list[str] | None = None,
vectorstore_kwargs: dict | None = None,
**vectorstore_cls_kwargs: Any,
) -> SemanticSimilarityExampleSelector:
"""Create k-shot example selector using example list and embeddings.
Reshuffles examples dynamically based on query similarity.
Args:
examples: List of examples to use in the prompt.
embeddings: An initialized embedding API interface, e.g. OpenAIEmbeddings().
vectorstore_cls: A vector store DB interface class, e.g. FAISS.
k: Number of examples to select.
input_keys: If provided, the search is based on the input variables
instead of all variables.
example_keys: If provided, keys to filter examples to.
vectorstore_kwargs: Extra arguments passed to similarity_search function
of the `VectorStore`.
vectorstore_cls_kwargs: optional kwargs containing url for vector store
Returns:
The ExampleSelector instantiated, backed by a vector store.
"""
string_examples = [cls._example_to_text(eg, input_keys) for eg in examples]
vectorstore = vectorstore_cls.from_texts(
string_examples, embeddings, metadatas=examples, **vectorstore_cls_kwargs
)
return cls(
vectorstore=vectorstore,
k=k,
input_keys=input_keys,
example_keys=example_keys,
vectorstore_kwargs=vectorstore_kwargs,
)
Domain
Subdomains
Called By
Source
Frequently Asked Questions
What does from_examples() do?
from_examples() is a function in the langchain codebase, defined in libs/core/langchain_core/example_selectors/semantic_similarity.py.
Where is from_examples() defined?
from_examples() is defined in libs/core/langchain_core/example_selectors/semantic_similarity.py at line 137.
What does from_examples() call?
from_examples() calls 2 function(s): _example_to_text, from_examples.
What calls from_examples()?
from_examples() is called by 1 function(s): from_examples.
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