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from chromadb.utils import embedding_functions | |
from chromadb.config import Settings | |
import chromadb | |
class searchengine: | |
def __init__(self, model_name,collection_name): | |
self.sentence_transformer_ef = embedding_functions.SentenceTransformerEmbeddingFunction( | |
model_name = model_name | |
) | |
self.chroma_client = chromadb.Client( | |
) | |
self.collection = self.chroma_client.get_or_create_collection(name=collection_name) | |
def add(self, text , metadata,id): | |
self.collection.add( | |
documents = [text], | |
metadatas = [metadata], | |
ids = [id] | |
) | |
def add_list(self, texts:list, metadatas:list, ids:list): | |
self.collection.add( | |
documents = texts, | |
metadatas = metadatas, | |
ids = ids | |
) | |
def query(self, query, number=2): | |
results = self.collection.query( | |
query_texts = [query], | |
n_results = number | |
) | |
return results | |
def count(self): | |
return self.collection.count() | |
def peak(self): | |
result = self.collection.peek() |