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 --upgrade --quiet langchain langchain-community nuclia
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)
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")
ids = ndb.add_texts(["This is a new test", "This is a second test"])
results = ndb.similarity_search("Who was inspired by Ada Lovelace?")
print(results[0].page_content)
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4