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You can use a local NucliaDB instance or use Nuclia Cloud. When using a local instance, you need a Nuclia Understanding API key, so your texts are properly vectorized and indexed. You can get a key by creating a free account at https://nuclia.cloud, and then create a NUA key. 
pip install -qU  langchain langchain-community nuclia

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Usage with nuclia.cloud

from langchain_community.vectorstores.nucliadb import NucliaDB

API_KEY = "YOUR_API_KEY"

ndb = NucliaDB(knowledge_box="YOUR_KB_ID", local=False, api_key=API_KEY)

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Usage with a local instance

Note: By default backend is set to http://localhost:8080. 
from langchain_community.vectorstores.nucliadb import NucliaDB

ndb = NucliaDB(knowledge_box="YOUR_KB_ID", local=True, backend="http://my-local-server")

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Add and delete texts to your Knowledge Box

ids = ndb.add_texts(["This is a new test", "This is a second test"])

ndb.delete(ids=ids)

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Search in your Knowledge Box

results = ndb.similarity_search("Who was inspired by Ada Lovelace?")
print(results[0].page_content)
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