j~ddlZddlZddlmZmZmZmZmZmZm Z ddl Z ddl m Z ddlmZddlmZmZdZGddee Zy) N)AnyDictListLiteralOptionalSequencecast) Embeddings)pre_init) BaseModel ConfigDictz0.2.0c*eZdZUdZdZeed< dZeed< dZ e eed< dZ e eed< d Z e d ed < d Zeed < dZe eed< dZe eeed< dZeed<eddZededefdZdeedeeefdZdedeefdZy)FastEmbedEmbeddingsaQdrant FastEmbedding models. FastEmbed is a lightweight, fast, Python library built for embedding generation. See more documentation at: * https://github.com/qdrant/fastembed/ * https://qdrant.github.io/fastembed/ To use this class, you must install the `fastembed` Python package. `pip install fastembed` Example: from langchain_community.embeddings import FastEmbedEmbeddings fastembed = FastEmbedEmbeddings() zBAAI/bge-small-en-v1.5 model_namei max_lengthN cache_dirthreadsdefault)rpassagedoc_embed_type batch_sizeparallel providersmodelallow)extraprotected_namespacesvaluesreturnc|jd}|jd}|jd}|jd}|jd}|rd|vrdnd} tjd}tj j |tkrt d |d td |j||||||d<|S#t$rt d |d wxYw)z+Validate that FastEmbed has been installed.rrrrrCUDAExecutionProviderz fastembed-gpu fastembedzQCould not import 'fastembed' Python package. Please install it with `pip install z`.z.FastEmbedEmbeddings requires `pip install -U "z>=z"`.)rrrrrr) get importlib import_moduleModuleNotFoundError ImportErrormetadataversion MIN_VERSION TextEmbedding) clsr rrrrrpkg_to_installr$s r/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain_community/embeddings/fastembed.pyvalidate_environmentz(FastEmbedEmbeddings.validate_environmentPsZZ - ZZ - JJ{+ **Y'JJ{+ 4 A    !// NG01=J#Hhsm" *.Ix &-E3G"EL #$#4##JCT#YC4U 3DC(<<U rSs5EEE0)* K<)ZK