Better docs for weaviate hybrid search (#5290)

# Better docs for weaviate hybrid search

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Fixes: NA

## Before submitting

<!-- If you're adding a new integration, include an integration test and
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@dev2049
searx_updates
Shukri 12 months ago committed by GitHub
parent 641303a361
commit 58e95cd11e
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GPG Key ID: 4AEE18F83AFDEB23

@ -16,9 +16,18 @@
"This notebook shows how to use `Weaviate hybrid search` as a LangChain retriever."
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "c307b082",
"metadata": {},
"source": [
"Set up the retriever:"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"id": "bba863a2-977c-4add-b5f4-bfc33a80eae5",
"metadata": {
"tags": []
@ -30,7 +39,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 2,
"id": "c10dd962",
"metadata": {},
"outputs": [],
@ -38,18 +47,33 @@
"import weaviate\n",
"import os\n",
"\n",
"WEAVIATE_URL = \"...\"\n",
"WEAVIATE_URL = os.getenv(\"WEAVIATE_URL\")\n",
"client = weaviate.Client(\n",
" url=WEAVIATE_URL,\n",
")"
" auth_client_secret=weaviate.AuthApiKey(api_key=os.getenv(\"WEAVIATE_API_KEY\")),\n",
" additional_headers={\n",
" \"X-Openai-Api-Key\": os.getenv(\"OPENAI_API_KEY\"),\n",
" },\n",
")\n",
"\n",
"# client.schema.delete_all()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"id": "f47a2bfe",
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/workspaces/langchain/langchain/vectorstores/analyticdb.py:20: MovedIn20Warning: The ``declarative_base()`` function is now available as sqlalchemy.orm.declarative_base(). (deprecated since: 2.0) (Background on SQLAlchemy 2.0 at: https://sqlalche.me/e/b8d9)\n",
" Base = declarative_base() # type: Any\n"
]
}
],
"source": [
"from langchain.retrievers.weaviate_hybrid_search import WeaviateHybridSearchRetriever\n",
"from langchain.schema import Document"
@ -57,37 +81,85 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 4,
"id": "f2eff08e",
"metadata": {},
"outputs": [],
"source": [
"retriever = WeaviateHybridSearchRetriever(client, index_name=\"LangChain\", text_key=\"text\")"
"retriever = WeaviateHybridSearchRetriever(\n",
" client, index_name=\"LangChain\", text_key=\"text\"\n",
")"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "b68debff",
"metadata": {},
"source": [
"Add some data:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 5,
"id": "cd8a7b17",
"metadata": {},
"outputs": [],
"source": [
"docs = [Document(page_content=\"foo\")]"
"docs = [\n",
" Document(\n",
" metadata={\n",
" \"title\": \"Embracing The Future: AI Unveiled\",\n",
" \"author\": \"Dr. Rebecca Simmons\",\n",
" },\n",
" page_content=\"A comprehensive analysis of the evolution of artificial intelligence, from its inception to its future prospects. Dr. Simmons covers ethical considerations, potentials, and threats posed by AI.\",\n",
" ),\n",
" Document(\n",
" metadata={\n",
" \"title\": \"Symbiosis: Harmonizing Humans and AI\",\n",
" \"author\": \"Prof. Jonathan K. Sterling\",\n",
" },\n",
" page_content=\"Prof. Sterling explores the potential for harmonious coexistence between humans and artificial intelligence. The book discusses how AI can be integrated into society in a beneficial and non-disruptive manner.\",\n",
" ),\n",
" Document(\n",
" metadata={\"title\": \"AI: The Ethical Quandary\", \"author\": \"Dr. Rebecca Simmons\"},\n",
" page_content=\"In her second book, Dr. Simmons delves deeper into the ethical considerations surrounding AI development and deployment. It is an eye-opening examination of the dilemmas faced by developers, policymakers, and society at large.\",\n",
" ),\n",
" Document(\n",
" metadata={\n",
" \"title\": \"Conscious Constructs: The Search for AI Sentience\",\n",
" \"author\": \"Dr. Samuel Cortez\",\n",
" },\n",
" page_content=\"Dr. Cortez takes readers on a journey exploring the controversial topic of AI consciousness. The book provides compelling arguments for and against the possibility of true AI sentience.\",\n",
" ),\n",
" Document(\n",
" metadata={\n",
" \"title\": \"Invisible Routines: Hidden AI in Everyday Life\",\n",
" \"author\": \"Prof. Jonathan K. Sterling\",\n",
" },\n",
" page_content=\"In his follow-up to 'Symbiosis', Prof. Sterling takes a look at the subtle, unnoticed presence and influence of AI in our everyday lives. It reveals how AI has become woven into our routines, often without our explicit realization.\",\n",
" ),\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 6,
"id": "3c5970db",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['3f79d151-fb84-44cf-85e0-8682bfe145e0']"
"['eda16d7d-437d-4613-84ae-c2e38705ec7a',\n",
" '04b501bf-192b-4e72-be77-2fbbe7e67ebf',\n",
" '18a1acdb-23b7-4482-ab04-a6c2ed51de77',\n",
" '88e82cc3-c020-4b5a-b3c6-ca7cf3fc6a04',\n",
" 'f6abd9d5-32ed-46c4-bd08-f8d0f7c9fc95']"
]
},
"execution_count": 5,
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@ -96,34 +168,76 @@
"retriever.add_documents(docs)"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "6e030694",
"metadata": {},
"source": [
"Do a hybrid search:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 7,
"id": "bf7dbb98",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content='foo', metadata={})]"
"[Document(page_content='In her second book, Dr. Simmons delves deeper into the ethical considerations surrounding AI development and deployment. It is an eye-opening examination of the dilemmas faced by developers, policymakers, and society at large.', metadata={}),\n",
" Document(page_content='A comprehensive analysis of the evolution of artificial intelligence, from its inception to its future prospects. Dr. Simmons covers ethical considerations, potentials, and threats posed by AI.', metadata={}),\n",
" Document(page_content=\"In his follow-up to 'Symbiosis', Prof. Sterling takes a look at the subtle, unnoticed presence and influence of AI in our everyday lives. It reveals how AI has become woven into our routines, often without our explicit realization.\", metadata={}),\n",
" Document(page_content='Prof. Sterling explores the potential for harmonious coexistence between humans and artificial intelligence. The book discusses how AI can be integrated into society in a beneficial and non-disruptive manner.', metadata={})]"
]
},
"execution_count": 6,
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"retriever.get_relevant_documents(\"foo\")"
"retriever.get_relevant_documents(\"the ethical implications of AI\")"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "d0c5bb4d",
"metadata": {},
"source": [
"Do a hybrid search with where filter:"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"id": "b2bc87c1",
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content='Prof. Sterling explores the potential for harmonious coexistence between humans and artificial intelligence. The book discusses how AI can be integrated into society in a beneficial and non-disruptive manner.', metadata={}),\n",
" Document(page_content=\"In his follow-up to 'Symbiosis', Prof. Sterling takes a look at the subtle, unnoticed presence and influence of AI in our everyday lives. It reveals how AI has become woven into our routines, often without our explicit realization.\", metadata={})]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"retriever.get_relevant_documents(\n",
" \"AI integration in society\",\n",
" where_filter={\n",
" \"path\": [\"author\"],\n",
" \"operator\": \"Equal\",\n",
" \"valueString\": \"Prof. Jonathan K. Sterling\",\n",
" },\n",
")"
]
}
],
"metadata": {
@ -142,7 +256,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.9.16"
}
},
"nbformat": 4,

@ -19,6 +19,7 @@ class WeaviateHybridSearchRetriever(BaseRetriever):
alpha: float = 0.5,
k: int = 4,
attributes: Optional[List[str]] = None,
create_schema_if_missing: bool = True,
):
try:
import weaviate
@ -40,6 +41,19 @@ class WeaviateHybridSearchRetriever(BaseRetriever):
if attributes is not None:
self._query_attrs.extend(attributes)
if create_schema_if_missing:
self._create_schema_if_missing()
def _create_schema_if_missing(self) -> None:
class_obj = {
"class": self._index_name,
"properties": [{"name": self._text_key, "dataType": ["text"]}],
"vectorizer": "text2vec-openai",
}
if not self._client.schema.exists(self._index_name):
self._client.schema.create_class(class_obj)
class Config:
"""Configuration for this pydantic object."""

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