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docs[patch]: Add keywords for common queries (#5655)
* Add keywords for common queries * Format
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‎docs/core_docs/docs/concepts.mdx‎

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---
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keywords:
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[
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prompt,
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prompttemplate,
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chatprompttemplate,
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tool,
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tools,
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runnable,
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runnables,
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invoke,
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vector,
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vectorstore,
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vectorstores,
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embedding,
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embeddings,
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chat,
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chat model,
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llm,
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llms,
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retriever,
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retrievers,
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loader,
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loaders,
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document,
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documents,
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output,
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output parser,
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]
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---
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# Conceptual guide
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This section contains introductions to key parts of LangChain.

‎docs/core_docs/docs/how_to/recursive_text_splitter.ipynb‎

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{
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"cells": [
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"vscode": {
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"languageId": "raw"
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"source": [
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"---\n",
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"keywords: [recursivecharactertextsplitter]\n",
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"---"
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"cell_type": "markdown",
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"metadata": {},

‎docs/core_docs/docs/how_to/sequence.ipynb‎

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"source": [
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"---\n",
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"keywords: [Runnable, Runnables, LCEL]\n",
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"keywords: [chain, chaining, runnablesequence]\n",
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‎docs/core_docs/docs/how_to/tool_calling.ipynb‎

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"source": [
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"keywords: [function, function calling, tool, tool calling]\n",
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"metadata": {},

‎docs/core_docs/docs/integrations/platforms/aws.mdx‎

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---
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keywords: [bedrock]
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---
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# AWS
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All functionality related to [Amazon AWS](https://aws.amazon.com/) platform

‎docs/core_docs/docs/integrations/platforms/microsoft.mdx‎

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keywords: [azure]
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import CodeBlock from "@theme/CodeBlock";
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# Microsoft

‎docs/core_docs/docs/integrations/platforms/openai.mdx‎

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keywords: [openai]
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# OpenAI
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All functionality related to OpenAI

‎docs/core_docs/docs/integrations/text_embedding/openai.mdx‎

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# OpenAI
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The `OpenAIEmbeddings` class uses the OpenAI API to generate embeddings for a given text. By default it strips new line characters from the text, as recommended by OpenAI, but you can disable this by passing `stripNewLines: false` to the constructor.

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