a bg@sTddlmZddlmZmZddlmZddlmZddl m Z Gddde Z dS) ) annotations)AnyList)CallbackManagerForRetrieverRun)Document) BaseRetrieverc@sNeZdZUdZded<ded<edddddd d d Zdd d dddZdS)KayAiRetrieverz Retriever for Kay.ai datasets. To work properly, expects you to have KAY_API_KEY env variable set. You can get one for free at https://kay.ai/. rclientint num_contextsstrz List[str]) dataset_id data_typesr returncCsBzddlm}Wnty*tdYn0|||}|||dS)a Create a KayRetriever given a Kay dataset id and a list of datasources. Args: dataset_id: A dataset id category in Kay, like "company" data_types: A list of datasources present within a dataset. For "company" the corresponding datasources could be ["10-K", "10-Q", "8-K", "PressRelease"]. num_contexts: The number of documents to retrieve on each query. Defaults to 6. r) KayRetrieverzNCould not import kay python package. Please install it with `pip install kay`.)r r )Zkay.rag.retrieversr ImportError)clsrrr rr rp/var/www/html/cobodadashboardai.evdpl.com/venv/lib/python3.9/site-packages/langchain_community/retrievers/kay.pycreates   zKayAiRetriever.createrzList[Document])query run_managerrcCsP|jj||jd}g}|D]0}|dd}|dur4q|t|i|dq|S)N)rZ num_contextZchunk_embed_text) page_contentmetadata)r rr popappendr)selfrrZctxsdocsctxrrrr_get_relevant_documents2s z&KayAiRetriever._get_relevant_documentsN)r )__name__ __module__ __qualname____doc____annotations__ classmethodrr rrrrr s rN) __future__rtypingrrZlangchain_core.callbacksrZlangchain_core.documentsrZlangchain_core.retrieversrrrrrrs