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= Introduction to Vector Indexes and Unstructured Data
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This repository accompanies the link:graphacademy.neo4j.com/courses/llm-vectors-unstructured[Introduction to Vector Indexes and Unstructured Data^] on link:graphacademy.neo4j.com/courses/genai-workshop[GraphAcademy^].
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This repository accompanies the link:https://graphacademy.neo4j.com/courses/llm-vectors-unstructured/[Introduction to Vector Indexes and Unstructured Data^] on link:https://graphacademy.neo4j.com[GraphAcademy^].
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For a complete walkthrough of this repository, link:graphacademy.neo4j.com/courses/llm-vectors-unstructured[enrol now^].
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For a complete walkthrough of this repository, link:https://graphacademy.neo4j.com/courses/llm-vectors-unstructured/[enrol now^].
This repository accompanies the [Introduction to Vector Indexes and Unstructured Data course](https://graphacademy.neo4j.com/courses/llm-vectors-unstructured) on [GraphAcademy](https://graphacademy.neo4j.com).
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When the devcontainer is created, such as in a GitHub codespace, all the required software and packages will be installed.
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Follow the [Setup Instructions in GraphAcademy](https://graphacademy.neo4j.com/courses/llm-vectors-unstructured/3-unstructured-data/0-setup/) to get started.
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You will need to:
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1. Create a new [`.env`](.env) file and copy the contents of the [`.env.example`](.env.example) file into it
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2. Update the environment values in the [`.env`](.env) file with the values in the [Setup Instructions](https://graphacademy.neo4j.com/courses/genai-workshop/1-knowledge-graphs-vectors/1-getting-started/)
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3. Run the [`llm-vectors-unstructured/test_environment.py`](./llm-vectors-unstructured/test_environment.py) program to check the environment is set up correctly.
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