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docs: add integrations, revamp docs (#693)
Signed-off-by: Panos Vagenas <35837085+vagenas@users.noreply.github.com>
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@@ -1,14 +1,33 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[](https://colab.research.google.com/github/DS4SD/docling/blob/main/docs/examples/rag_weaviate.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Ag9kcX2B_atc"
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},
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"source": [
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"# Performing RAG over PDFs with Weaviate and Docling\n",
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"# RAG with Weaviate"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"| Step | Tech | Execution | \n",
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"| --- | --- | --- |\n",
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"| Embedding | Open AI | 🌐 Remote |\n",
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"| Vector store | Weavieate | 💻 Local |\n",
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"| Gen AI | Open AI | 🌐 Remote |\n",
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"\n",
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"## A recipe 🧑🍳 🐥 💚\n",
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"[](https://colab.research.google.com/github/DS4SD/docling/blob/tree/main/docs/examples/rag_weaviate.ipynb)\n",
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"\n",
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"This is a code recipe that uses [Weaviate](https://weaviate.io/) to perform RAG over PDF documents parsed by [Docling](https://ds4sd.github.io/docling/).\n",
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"\n",
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@@ -711,7 +730,8 @@
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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@@ -724,7 +744,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.10"
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"version": "3.12.7"
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}
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},
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"nbformat": 4,
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