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Add an example for rag
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pgml-sdks/pgml/src/collection.rs

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@@ -1131,6 +1131,65 @@ impl Collection {
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.collect())
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}
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/// Performs rag on the [Collection]
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///
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/// # Arguments
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/// * `query` - The query to search for
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/// * `pipeline` - The [Pipeline] to use for the search
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///
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/// # Example
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/// ```
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/// use pgml::Collection;
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/// use pgml::Pipeline;
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/// use serde_json::json;
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/// use anyhow::Result;
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/// async fn run() -> anyhow::Result<()> {
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/// let mut collection = Collection::new("my_collection", None)?;
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/// let mut pipeline = Pipeline::new("my_pipeline", None)?;
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/// let results = collection.rag(json!({
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/// "CONTEXT": {
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/// "vector_search": {
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/// "query": {
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/// "fields": {
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/// "body": {
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/// "query": "Test document: 2",
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/// "parameters": {
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/// "prompt": "query: "
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/// }
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/// },
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/// },
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/// },
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/// "document": {
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/// "keys": [
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/// "id"
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/// ]
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/// },
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/// "limit": 2
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/// },
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/// "aggregate": {
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/// "join": "\n"
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/// }
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/// },
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/// "CUSTOM": {
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/// "sql": "SELECT 'test'"
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/// },
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/// "chat": {
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/// "model": "meta-llama/Meta-Llama-3-8B-Instruct",
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/// "messages": [
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/// {
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/// "role": "system",
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/// "content": "You are a friendly and helpful chatbot"
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/// },
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/// {
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/// "role": "user",
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/// "content": "Some text with {CONTEXT} - {CUSTOM}",
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/// }
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/// ],
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/// "max_tokens": 10
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/// }
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/// }).into(), &mut pipeline).await?;
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/// Ok(())
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/// }
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#[instrument(skip(self))]
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pub async fn rag(&self, query: Json, pipeline: &mut Pipeline) -> anyhow::Result<Json> {
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let pool = get_or_initialize_pool(&self.database_url).await?;
@@ -1141,6 +1200,7 @@ impl Collection {
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Ok(std::mem::take(&mut results[0].0))
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}
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/// Same as rag buit returns a stream of results
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#[instrument(skip(self))]
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pub async fn rag_stream(
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&self,

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