MongoDB Atlas 集成

from langchain_mongodb import MongoDBAtlasVectorSearch

from langchain_mongodb.retrievers import MongoDBAtlasFullTextSearchRetriever

from langchain_mongodb.retrievers import MongoDBAtlasHybridSearchRetriever

from langchain_mongodb.cache import MongoDBCache

from langchain_core.globals import set_llm_cache

# 使用任何嵌入提供程序...
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings

mongodb_atlas_uri = "<YOUR_CONNECTION_STRING>"
COLLECTION_NAME="<YOUR_CACHE_COLLECTION_NAME>"
DATABASE_NAME="<YOUR_DATABASE_NAME>"

set_llm_cache(MongoDBCache(
    connection_string=mongodb_atlas_uri,
    collection_name=COLLECTION_NAME,
    database_name=DATABASE_NAME,
))

from langchain_mongodb.cache import MongoDBAtlasSemanticCache

from langchain_core.globals import set_llm_cache

# 使用任何嵌入提供程序...
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings

mongodb_atlas_uri = "<YOUR_CONNECTION_STRING>"
COLLECTION_NAME="<YOUR_CACHE_COLLECTION_NAME>"
DATABASE_NAME="<YOUR_DATABASE_NAME>"

set_llm_cache(MongoDBAtlasSemanticCache(
    embedding=FakeEmbeddings(),
    connection_string=mongodb_atlas_uri,
    collection_name=COLLECTION_NAME,
    database_name=DATABASE_NAME,
))