langchain-dappier

This package contains the LangChain integration with Dappier

Installation

pip install -U langchain-dappier

And you should configure credentials by setting the following environment variables:

export DAPPIER_API_KEY="your-api-key-here"

Retrievers

DappierRetriever class exposes chat models from Dappier.

Parameters:

• data_model_id (str): Data model ID, starting with dm_. You can find the available data model IDs at Dappier marketplace.
• k (int): Number of documents to return.
• ref (Optional[str]): Site domain where AI recommendations are displayed.
• num_articles_ref (int): Minimum number of articles from the specified ref domain. The rest will come from other sites within the RAG model.
• search_algorithm (Literal["most_recent", "most_recent_semantic", "semantic", "trending"]): Search algorithm for retrieving articles.
• api_key (Optional[str]): The API key used to interact with the Dappier APIs.

from langchain_dappier import DappierRetriever

retriever = DappierRetriever(
    data_model_id="dm_01jagy9nqaeer9hxx8z1sk1jx6"
)

query = "latest tech news"

retriever.invoke(query)