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Revert "TOPIC: Parsing PDFs table contents for RAG supporting notebook (#341)"
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‎README.md‎

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@@ -51,7 +51,7 @@ Try out Playground in Kibana with the following notebooks:
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- [`Document Chunking with Ingest Pipelines`](./notebooks/document-chunking/with-index-pipelines.ipynb)
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- [`Document Chunking with LangChain Splitters`](./notebooks/document-chunking/with-langchain-splitters.ipynb)
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- [`Calculating tokens for Semantic Search (ELSER and E5)`](./notebooks/document-chunking/tokenization.ipynb)
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- [`Fetch surrounding chunks`](./supporting-blog-content/fetch-surrounding-chunks/fetch-surrounding-chunks.ipynb)
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- [`Fetch surrounding chucks`](./supporting-blog-content/fetch-surrounding-chunks/fetch-surrounding-chunks.ipynb)
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### Search
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‎supporting-blog-content/alternative-approach-for-parsing-pdfs-in-rag/README.md‎

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‎supporting-blog-content/alternative-approach-for-parsing-pdfs-in-rag/alternative-approach-for-parsing-pdfs-in-rag.ipynb‎

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‎supporting-blog-content/alternative-approach-for-parsing-pdfs-in-rag/quarterly_report.pdf‎

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‎supporting-blog-content/unifying-elastic-vector-database-and-llms-for-intelligent-query/README.md‎

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