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langchain/docs/extras/integrations/vectorstores/nucliadb.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# NucliaDB\n",
"\n",
"You can use a local NucliaDB instance or use [Nuclia Cloud](https://nuclia.cloud).\n",
"\n",
"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](https://nuclia.cloud), and then [create a NUA key](https://docs.nuclia.dev/docs/docs/using/understanding/intro)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#!pip install langchain nuclia"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Usage with nuclia.cloud"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from langchain.vectorstores.nucliadb import NucliaDB\n",
"API_KEY = \"YOUR_API_KEY\"\n",
"\n",
"ndb = NucliaDB(knowledge_box=\"YOUR_KB_ID\", local=False, api_key=API_KEY)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Usage with a local instance\n",
"\n",
"Note: By default `backend` is set to `http://localhost:8080`."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from langchain.vectorstores.nucliadb import NucliaDB\n",
"\n",
"ndb = NucliaDB(knowledge_box=\"YOUR_KB_ID\", local=True, backend=\"http://my-local-server\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Add and delete texts to your Knowledge Box"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ids = ndb.add_texts([\"This is a new test\", \"This is a second test\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ndb.delete(ids=ids)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Search in your Knowledge Box"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"results = ndb.similarity_search(\"Who was inspired by Ada Lovelace?\")\n",
"print(res.page_content)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
}
},
"nbformat": 4,
"nbformat_minor": 4
}