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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() |