gemini_adk_rs/tools/retrieval/
vertex_ai_rag.rs

1//! Vertex AI RAG retrieval tool — retrieve context via Vertex AI RAG API.
2//!
3//! Mirrors ADK-Python's `vertex_ai_rag_retrieval` tool.
4
5use async_trait::async_trait;
6
7use super::base::{BaseRetrievalTool, RetrievalResult};
8use crate::error::ToolError;
9
10/// Configuration for Vertex AI RAG retrieval.
11#[derive(Debug, Clone)]
12pub struct VertexAiRagConfig {
13    /// The RAG corpus resource name.
14    /// Format: `projects/{project}/locations/{location}/ragCorpora/{corpus_id}`
15    pub corpus: String,
16    /// Minimum similarity score threshold.
17    pub similarity_threshold: f64,
18}
19
20/// Retrieval tool that searches via Vertex AI RAG API.
21///
22/// Calls the Vertex AI RAG API to retrieve relevant document chunks
23/// from a configured corpus.
24#[derive(Debug, Clone)]
25pub struct VertexAiRagRetrievalTool {
26    config: VertexAiRagConfig,
27}
28
29impl VertexAiRagRetrievalTool {
30    /// Create a new Vertex AI RAG retrieval tool.
31    pub fn new(config: VertexAiRagConfig) -> Self {
32        Self { config }
33    }
34
35    /// Returns the configured corpus resource name.
36    pub fn corpus(&self) -> &str {
37        &self.config.corpus
38    }
39}
40
41#[async_trait]
42impl BaseRetrievalTool for VertexAiRagRetrievalTool {
43    fn name(&self) -> &str {
44        "vertex_ai_rag_retrieval"
45    }
46
47    async fn retrieve(
48        &self,
49        query: &str,
50        _top_k: usize,
51    ) -> Result<Vec<RetrievalResult>, ToolError> {
52        // In a real integration, this would call the Vertex AI RAG API:
53        // POST https://{endpoint}/v1beta1/{corpus}:retrieveContexts
54        //
55        // The actual API integration requires the Google Cloud SDK
56        // and authentication. This stub returns empty results.
57        let _ = query;
58        Ok(vec![])
59    }
60}
61
62#[cfg(test)]
63mod tests {
64    use super::*;
65
66    #[test]
67    fn tool_metadata() {
68        let tool = VertexAiRagRetrievalTool::new(VertexAiRagConfig {
69            corpus: "projects/my-proj/locations/us-central1/ragCorpora/my-corpus".into(),
70            similarity_threshold: 0.7,
71        });
72        assert_eq!(tool.name(), "vertex_ai_rag_retrieval");
73        assert!(tool.corpus().contains("my-corpus"));
74    }
75
76    #[tokio::test]
77    async fn retrieve_returns_empty_stub() {
78        let tool = VertexAiRagRetrievalTool::new(VertexAiRagConfig {
79            corpus: "test-corpus".into(),
80            similarity_threshold: 0.5,
81        });
82        let results = tool.retrieve("test query", 5).await.unwrap();
83        assert!(results.is_empty());
84    }
85}
gemini_adk_rs/tools/retrieval/vertex_ai_rag.rs

gemini_adk_rs/tools/retrieval/
vertex_ai_rag.rs
