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docs/fix links (#6498)
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@@ -36,7 +36,7 @@
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"3. Create an access token via the Developer Playground for your workspace. [Detailed instructions](https://help.docugami.com/home/docugami-api)\n",
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"4. Explore the [Docugami API](https://api-docs.docugami.com) to get a list of your processed docset IDs, or just the document IDs for a particular docset. \n",
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"6. Use the DocugamiLoader as detailed below, to get rich semantic chunks for your documents.\n",
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"7. Optionally, build and publish one or more [reports or abstracts](https://help.docugami.com/home/reports). This helps Docugami improve the semantic XML with better tags based on your preferences, which are then added to the DocugamiLoader output as metadata. Use techniques like [self-querying retriever](https://python.langchain.com/en/latest/modules/data_connection/retrievers/examples/self_query_retriever.html) to do high accuracy Document QA.\n",
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"7. Optionally, build and publish one or more [reports or abstracts](https://help.docugami.com/home/reports). This helps Docugami improve the semantic XML with better tags based on your preferences, which are then added to the DocugamiLoader output as metadata. Use techniques like [self-querying retriever](/docs/modules/data_connection/retrievers/how_to/self_query_retriever/) to do high accuracy Document QA.\n",
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"\n",
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"## Advantages vs Other Chunking Techniques\n",
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"\n",
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@@ -317,7 +317,7 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"We can use a [self-querying retriever](../../retrievers/examples/self_query.html) to improve our query accuracy, using this additional metadata:"
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"We can use a [self-querying retriever](/docs/modules/data_connection/retrievers/how_to/self_query/) to improve our query accuracy, using this additional metadata:"
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]
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},
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{
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@@ -423,7 +423,7 @@
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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": "3.10.6"
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"version": "3.11.3"
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}
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},
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"nbformat": 4,
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