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@@ -23,8 +23,8 @@ There are two components: ingestion and question-answering.
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Ingestion has the following steps:
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1. Pull html from documentation site as well as the Github Codebase
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2. Load html with LangChain's [RecursiveURLLoader](https://python.langchain.com/docs/integrations/document_loaders/recursive_url_loader) and [SitemapLoader](https://python.langchain.com/docs/integrations/document_loaders/sitemap)
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3. Split documents with LangChain's [RecursiveCharacterTextSplitter](https://api.python.langchain.com/en/latest/text_splitter/langchain.text_splitter.RecursiveCharacterTextSplitter.html)
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2. Load html with LangChain's [RecursiveURLLoader](https://python.langchain.com/docs/integrations/document_loaders/recursive_url) and [SitemapLoader](https://python.langchain.com/docs/integrations/document_loaders/sitemap)
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3. Split documents with LangChain's [RecursiveCharacterTextSplitter](https://python.langchain.com/api_reference/text_splitters/character/langchain_text_splitters.character.RecursiveCharacterTextSplitter.html)
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4. Create a vectorstore of embeddings, using LangChain's [Weaviate vectorstore wrapper](https://python.langchain.com/docs/integrations/vectorstores/weaviate) (with OpenAI's embeddings).
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Question-Answering has the following steps:
@@ -42,4 +42,4 @@ Looking to use or modify this Use Case Accelerant for your own needs? We've adde
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-**[Modify](./MODIFY.md)**: A guide on how to modify Chat LangChain for your own needs. Covers the frontend, backend and everything in between.
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-**[LangSmith](./LANGSMITH.md)**: A guide on adding robustness to your application using LangSmith. Covers observability, evaluations, and feedback.
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-**[Production](./PRODUCTION.md)**: Documentation on preparing your application for production usage. Explains different security considerations, and more.
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-**[Deployment](./DEPLOYMENT.md)**: How to deploy your application to production. Covers setting up production databases, deploying the frontend, and more.
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-**[Deployment](./DEPLOYMENT.md)**: How to deploy your application to production. Covers setting up production databases, deploying the frontend, and more.
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