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Fix genai page dumps for block format
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modules/ROOT/pages/genai-integrations.adoc

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:description: Information about Neo4j's GenAI integrations.
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:test-setup-dump: https://github.com/neo4j-graph-examples/recommendations/raw/main/data/recommendations-25.dump
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:test-setup-dump: https://github.com/neo4j-graph-examples/recommendations/raw/main/data/recommendations-5.26-block.dump
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include::https://raw.githubusercontent.com/neo4j-graphacademy/courses/main/asciidoc/courses/llm-fundamentals/ad.adoc[]
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[[genai-integrations]]
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The graph contains 28863 nodes and 332522 relationships.
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There are 9083 `Movie` nodes with a `plot` and `title` property.
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To recreate the graph,
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To recreate the graph, download and import this link:https://github.com/neo4j-graph-examples/recommendations/raw/main/data/recommendations-embeddings-50.dump[dump file] to an empty Neo4j database.
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Dump files can be imported for both link:{neo4j-docs-base-uri}/aura/classic/auradb/importing/import-database/[Aura] and link:{neo4j-docs-base-uri}/operations-manual/current/backup-restore/restore-dump/[on-prem] instances.
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- For Aura or Enterprise Edition, import link:https://github.com/neo4j-graph-examples/recommendations/raw/main/data/recommendations-5.26-block.dump[this dump file] into an empty database.
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- For self-hosted Community Edition, import link:https://github.com/neo4j-graph-examples/recommendations/raw/main/data/recommendations-5.26.dump[this dump file] into an empty database.
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To learn how to import dumps, see link:{neo4j-docs-base-uri}/aura/classic/auradb/importing/import-database/[Aura -> Importing an existing database] or link:{neo4j-docs-base-uri}/operations-manual/current/backup-restore/restore-dump/[Operations manual -> Restore a database dump].
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[NOTE]
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The embeddings on this are generated using link:https://platform.openai.com/docs/guides/embeddings[OpenAI] (model `text-embedding-ada-002`), producing 1536-dimensional vectors.
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The embeddings on this page are generated using link:https://platform.openai.com/docs/guides/embeddings[OpenAI] (model `text-embedding-ada-002`), producing 1536-dimensional vectors.
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[[single-embedding]]
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== Generate a single embedding and store it

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