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docs: Correct code examples in the Apify's notebooks (#22768)

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**Description:** Correct code examples in the Apify document load
notebook and Apify Dataset notebook

**Issue**: None
**Dependencies**: None
**Twitter handle**: None
This commit is contained in:
Jiří Spilka 2024-06-11 21:20:16 +02:00 committed by GitHub
parent 9212c9fcb8
commit 20e3662acf
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2 changed files with 14 additions and 10 deletions
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12
docs/docs/integrations/document_loaders/apify_dataset.ipynb
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@ -13,7 +13,7 @@
"\n",
"## Prerequisites\n",
"\n",
"You need to have an existing dataset on the Apify platform. If you don't have one, please first check out [this notebook](/docs/integrations/tools/apify) on how to use Apify to extract content from documentation, knowledge bases, help centers, or blogs."
"You need to have an existing dataset on the Apify platform. If you don't have one, please first check out [this notebook](/docs/integrations/tools/apify) on how to use Apify to extract content from documentation, knowledge bases, help centers, or blogs. This example shows how to load a dataset produced by the [Website Content Crawler](https://apify.com/apify/website-content-crawler)."
]
},
{
@ -101,8 +101,10 @@
"outputs": [],
"source": [
"from langchain.indexes import VectorstoreIndexCreator\n",
"from langchain_community.document_loaders import ApifyDatasetLoader\n",
"from langchain_core.documents import Document"
"from langchain_community.utilities import ApifyWrapper\n",
"from langchain_core.documents import Document\n",
"from langchain_openai import OpenAI\n",
"from langchain_openai.embeddings import OpenAIEmbeddings"
]
},
{
@ -125,7 +127,7 @@
"metadata": {},
"outputs": [],
"source": [
"index = VectorstoreIndexCreator().from_loaders([loader])"
"index = VectorstoreIndexCreator(embedding=OpenAIEmbeddings()).from_loaders([loader])"
]
},
{
@ -135,7 +137,7 @@
"outputs": [],
"source": [
"query = \"What is Apify?\"\n",
"result = index.query_with_sources(query)"
"result = index.query_with_sources(query, llm=OpenAI())"
]
},
{

12
docs/docs/integrations/tools/apify.ipynb
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@ -42,14 +42,16 @@
"source": [
"from langchain.indexes import VectorstoreIndexCreator\n",
"from langchain_community.utilities import ApifyWrapper\n",
"from langchain_core.documents import Document"
"from langchain_core.documents import Document\n",
"from langchain_openai import OpenAI\n",
"from langchain_openai.embeddings import OpenAIEmbeddings"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Initialize it using your [Apify API token](https://console.apify.com/account/integrations) and for the purpose of this example, also with your OpenAI API key:"
"Initialize it using your [Apify API token](https://docs.apify.com/platform/integrations/api#api-token) and for the purpose of this example, also with your OpenAI API key:"
]
},
{
@ -103,7 +105,7 @@
"metadata": {},
"outputs": [],
"source": [
"index = VectorstoreIndexCreator().from_loaders([loader])"
"index = VectorstoreIndexCreator(embedding=OpenAIEmbeddings()).from_loaders([loader])"
]
},
{
@ -120,7 +122,7 @@
"outputs": [],
"source": [
"query = \"What is LangChain?\"\n",
"result = index.query_with_sources(query)"
"result = index.query_with_sources(query, llm=OpenAI())"
]
},
{
@ -160,7 +162,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.1"
"version": "3.11.3"
}
},
"nbformat": 4,