h?ddlmZddlZddlmZmZmZmZmZm Z ddl m Z ddl m Z ddlmZerddlmZddlmZddlmZddlm ZGd d eZy) ) annotationsN) TYPE_CHECKINGAnyIterableListOptionalTuple)Document) Embeddings) VectorStore) TigrisClient)FilterceZdZdZd dZed dZed dZ d ddZ d ddZ d ddZ e d dd Z dd Z y)Tigrisz`Tigris` vector store.c ddl}||_t|j ||_y#t$r tdwxYw)zInitialize Tigris vector store.rNzWCould not import tigrisdb python package. Please install it with `pip install tigrisdb`)tigrisdb ImportError _embed_fnTigrisVectorStore get_search _vector_store)selfclient embeddings index_namers e/var/www/html/eduruby.in/venv/lib/python3.12/site-packages/langchain_community/vectorstores/tigris.py__init__zTigris.__init__sO  $.v/@/@/BJO @  s -Ac|jSN)rrs rrzTigris.embeddings!s ~~c|jSr)rr s r search_indexzTigris.search_index%s!!!r!Nc |j|||}|jj|}|Dcgc]}|jc}Scc}w)aRun more texts through the embeddings and add to the vectorstore. Args: texts: Iterable of strings to add to the vectorstore. metadatas: Optional list of metadatas associated with the texts. ids: Optional list of ids for documents. Ids will be autogenerated if not provided. kwargs: vectorstore specific parameters Returns: List of ids from adding the texts into the vectorstore. ) _prep_docsr# add_documentsid)rtexts metadatasidskwargsdocsresultrs r add_textszTigris.add_texts)sD&ui5""006$%%%%sA c ^|j|||}|Dcgc]\}}| c}}Scc}}w)z"Return docs most similar to query.)similarity_search_with_score)rquerykfilterr+docs_with_scoresdoc_s rsimilarity_searchzTigris.similarity_search@s1 <rks7"FF-03%9=@C[Cr!