PerplexitySearchRetriever Class — langchain Architecture
Architecture documentation for the PerplexitySearchRetriever class in retrievers.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 9fed5a40_61d5_cd0e_7e35_8a2bf939a75e["PerplexitySearchRetriever"] 3a20478a_3692_141f_433b_a32429b00020["BaseRetriever"] 9fed5a40_61d5_cd0e_7e35_8a2bf939a75e -->|extends| 3a20478a_3692_141f_433b_a32429b00020 ef5a56b7_7585_a9be_34e2_f6135562970c["retrievers.py"] 9fed5a40_61d5_cd0e_7e35_8a2bf939a75e -->|defined in| ef5a56b7_7585_a9be_34e2_f6135562970c 634c6a3d_7837_d61d_395e_6cb4d8b42a73["validate_environment()"] 9fed5a40_61d5_cd0e_7e35_8a2bf939a75e -->|method| 634c6a3d_7837_d61d_395e_6cb4d8b42a73 43f1b02b_af65_58a4_a314_2cbec97ed62d["_get_relevant_documents()"] 9fed5a40_61d5_cd0e_7e35_8a2bf939a75e -->|method| 43f1b02b_af65_58a4_a314_2cbec97ed62d
Relationship Graph
Source Code
libs/partners/perplexity/langchain_perplexity/retrievers.py lines 13–68
class PerplexitySearchRetriever(BaseRetriever):
"""Perplexity Search retriever."""
k: int = Field(default=10, description="Max results (1-20)")
max_tokens: int = Field(default=25000, description="Max tokens across all results")
max_tokens_per_page: int = Field(default=1024, description="Max tokens per page")
country: str | None = Field(default=None, description="ISO country code")
search_domain_filter: list[str] | None = Field(
default=None, description="Domain filter (max 20)"
)
search_recency_filter: Literal["day", "week", "month", "year"] | None = None
search_after_date: str | None = Field(
default=None, description="Date filter (format: %m/%d/%Y)"
)
search_before_date: str | None = Field(
default=None, description="Date filter (format: %m/%d/%Y)"
)
client: Any = Field(default=None, exclude=True)
pplx_api_key: SecretStr = Field(default=SecretStr(""))
@model_validator(mode="before")
@classmethod
def validate_environment(cls, values: dict) -> Any:
"""Validate the environment."""
return initialize_client(values)
def _get_relevant_documents(
self, query: str, *, run_manager: CallbackManagerForRetrieverRun
) -> list[Document]:
params = {
"query": query,
"max_results": self.k,
"max_tokens": self.max_tokens,
"max_tokens_per_page": self.max_tokens_per_page,
"country": self.country,
"search_domain_filter": self.search_domain_filter,
"search_recency_filter": self.search_recency_filter,
"search_after_date": self.search_after_date,
"search_before_date": self.search_before_date,
}
params = {k: v for k, v in params.items() if v is not None}
response = self.client.search.create(**params)
return [
Document(
page_content=result.snippet,
metadata={
"title": result.title,
"url": result.url,
"date": result.date,
"last_updated": result.last_updated,
},
)
for result in response.results
]
Extends
Source
Frequently Asked Questions
What is the PerplexitySearchRetriever class?
PerplexitySearchRetriever is a class in the langchain codebase, defined in libs/partners/perplexity/langchain_perplexity/retrievers.py.
Where is PerplexitySearchRetriever defined?
PerplexitySearchRetriever is defined in libs/partners/perplexity/langchain_perplexity/retrievers.py at line 13.
What does PerplexitySearchRetriever extend?
PerplexitySearchRetriever extends BaseRetriever.
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