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2 changes: 1 addition & 1 deletion docs/make.jl
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@ makedocs(;
assets = String[],
),
pages = ["Home" => "index.md",
"Workflow Guides" => ["observational_template_workflow.md"],
"Workflow Guides" => ["observational_template_workflow.md", "llm_template_workflow.md"],
"API" => "api.md"],
# TODO: Update and configure doctests before next release
# TODO: Add doctests to testing suite
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59 changes: 59 additions & 0 deletions docs/src/llm_template_workflow.md
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@@ -0,0 +1,59 @@
# JuliaHealth LLM RAG Assisted Study

This workflow guide demonstrates how to initialize and configure your study using [HealthBase.jl](https://github.com/JuliaHealth/HealthBase.jl) with assistance by an LLM RAG architecture.

---

## 1. Setup and Study Initialization

First, ensure that the required packages are installed in your global Julia environment:

```julia
import Pkg
Pkg.add(
[
"DrWatson",
"HealthBase"
]
)
```

> **Note**: The global environment is the default Julia package environment shared across projects.
> To learn more about environments, see the [Pkg documentation](https://pkgdocs.julialang.org/v1/environments/).

Then, load the packages:

```julia
using DrWatson
using HealthBase

import HealthBase:
configdir,
corpusdir,
modelsdir
```

Initialize a new study:

```julia
julia> initialize_study("sample_study", "Rosalind Franklin"; template = :llm)
```

This command creates a new directory called `sample_study` using the `:llm` template.
Then, it activates a new Julia environment named `sample_study`.

After initializing the study directory and Julia environment, install the remaining required packages:

```julia
Pkg.add(
[
"DataFrames",
"Downloads",
"DBInterface",
"DuckDB",
"FunSQL",
"OHDSIAPI",
"OHDSICohortExpressions"
]
)
```
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