diff --git a/crates/semantic_index/eval/gpt-engineer.json b/crates/semantic_index/eval/gpt-engineer.json
index d7c08cd505..64322e8384 100644
--- a/crates/semantic_index/eval/gpt-engineer.json
+++ b/crates/semantic_index/eval/gpt-engineer.json
@@ -12,7 +12,7 @@
     {
       "query": "What version of the openai package is active?",
       "matches": [
-        "pyproject.toml:14"
+        "pyprojet.toml:14"
       ]
     },
     {
diff --git a/crates/semantic_index/eval/tree-sitter.json b/crates/semantic_index/eval/tree-sitter.json
index 4f2edfb063..52d1e9df16 100644
--- a/crates/semantic_index/eval/tree-sitter.json
+++ b/crates/semantic_index/eval/tree-sitter.json
@@ -48,7 +48,7 @@
       "query": "Handle conflict when numerous actions occur on the same symbol",
       "matches": [
         "cli/src/generate/build_tables/build_parse_table.rs:363",
-        "cli/src/generate/build_tables/build_parse_table.rs:442",
+        "cli/src/generate/build_tables/build_parse_table.rs:442"
       ]
     },
     {
diff --git a/crates/semantic_index/examples/eval.rs b/crates/semantic_index/examples/eval.rs
index c3950757ce..f666f5c281 100644
--- a/crates/semantic_index/examples/eval.rs
+++ b/crates/semantic_index/examples/eval.rs
@@ -1,19 +1,36 @@
 use git2::{Object, Oid, Repository};
+use semantic_index::SearchResult;
 use serde::Deserialize;
 use std::path::{Path, PathBuf};
 use std::{env, fs};
 
 #[derive(Deserialize, Clone)]
-struct QueryMatches {
+struct EvaluationQuery {
     query: String,
     matches: Vec<String>,
 }
 
+impl EvaluationQuery {
+    fn match_pairs(&self) -> Vec<(PathBuf, usize)> {
+        let mut pairs = Vec::new();
+        for match_identifier in self.matches {
+            let match_parts = match_identifier.split(":");
+
+            if let Some(file_path) = match_parts.next() {
+                if let Some(row_number) = match_parts.next() {
+                    pairs.push((PathBuf::from(file_path), from_str::<usize>(row_number)));
+                }
+            }
+
+        pairs
+    }
+}
+
 #[derive(Deserialize, Clone)]
 struct RepoEval {
     repo: String,
     commit: String,
-    assertions: Vec<QueryMatches>,
+    assertions: Vec<EvaluationQuery>,
 }
 
 const TMP_REPO_PATH: &str = "./target/eval_repos";
@@ -77,7 +94,60 @@ fn clone_repo(repo_eval: RepoEval) -> anyhow::Result<PathBuf> {
     Ok(clone_path)
 }
 
+fn dcg(hits: Vec<usize>) -> f32 {
+    let mut result = 0.0;
+    for (idx, hit) in hits.iter().enumerate() {
+        result += *hit as f32 / (2.0 + idx as f32).log2();
+    }
+
+    println!("DCG: {:?}", result);
+    result
+}
+
+fn evaluate_ndcg(eval_query: EvaluationQuery, search_results: Vec<SearchResult>, k: usize) -> f32 {
+
+    // NDCG or Normalized Discounted Cumulative Gain, is determined by comparing the relevance of
+    // items returned by the search engine relative to the hypothetical ideal.
+    // Relevance is represented as a series of booleans, in which each search result returned
+    // is identified as being inside the test set of matches (1) or not (0).
+
+    // For example, if result 1, 3 and 5 match the 3 relevant results provided
+    // actual dcg is calculated against a vector of [1, 0, 1, 0, 1]
+    // whereas ideal dcg is calculated against a vector of [1, 1, 1, 0, 0]
+    // as this ideal vector assumes the 3 relevant results provided were returned first
+    // normalized dcg is then calculated as actual dcg / ideal dcg.
+
+    // NDCG ranges from 0 to 1, which higher values indicating better performance
+    // Commonly NDCG is expressed as NDCG@k, in which k represents the metric calculated
+    // including only the top k values returned.
+    // The @k metrics can help you identify, at what point does the relevant results start to fall off.
+    // Ie. a NDCG@1 of 0.9 and a NDCG@3 of 0.5 may indicate that the first result returned in usually
+    // very high quality, whereas rank results quickly drop off after the first result.
+
+    let ideal = vec![1; cmp::min(eval_query.matches.len(), k)];
+
+    return dcg(hits) / dcg(ideal);
+}
+
+fn evaluate_map(eval_query: EvaluationQuery, search_results: Vec<SearchResult>, k: usize) -> f32 {
+
+}
+
+fn evaluate_repo(repo_eval: RepoEval, clone_path: PathBuf) {
+
+    // Launch new repo as a new Zed workspace/project
+    // Index the project
+    // Search each eval_query
+    // Calculate Statistics
+
+}
+
 fn main() {
+
+    // zed/main.rs
+    // creating an app and running it, gives you the context.
+    // create a project, find_or_create_local_worktree.
+
     if let Ok(repo_evals) = parse_eval() {
         for repo in repo_evals {
             let cloned = clone_repo(repo.clone());
@@ -85,8 +155,12 @@ fn main() {
                 Ok(clone_path) => {
                     println!(
                         "Cloned {:?} @ {:?} into {:?}",
-                        repo.repo, repo.commit, clone_path
+                        repo.repo, repo.commit, &clone_path
                     );
+
+                    // Evaluate Repo
+                    evaluate_repo(repo, clone_path);
+
                 }
                 Err(err) => {
                     println!("Error Cloning: {:?}", err);