Nick:

apps/api/src/controllers/v1/extract.ts

@@ -28,8 +28,8 @@ configDotenv();
 const redis = new Redis(process.env.REDIS_URL!);
 
 const MAX_EXTRACT_LIMIT = 100;
-const MAX_RANKING_LIMIT = 5;
+const MAX_RANKING_LIMIT = 10;
-const SCORE_THRESHOLD = 0.75;
+const SCORE_THRESHOLD = 0.70;
 
 export async function extractController(
   req: RequestWithAuth<{}, ExtractResponse, ExtractRequest>,
@@ -64,28 +64,34 @@ export async function extractController(
         allowExternalLinks,
         origin: req.body.origin,
         limit: req.body.limit,
-        ignoreSitemap: false,
+        ignoreSitemap: true,
         includeMetadata: true,
         includeSubdomains: req.body.includeSubdomains,
       });
 
-      let mappedLinks = mapResults.links.map(x => `url: ${x.url}, title: ${x.title}, description: ${x.description}`);
+      let mappedLinks = mapResults.links as MapDocument[];
+      // Limit number of links to MAX_EXTRACT_LIMIT
+      mappedLinks = mappedLinks.slice(0, MAX_EXTRACT_LIMIT);
+
+      let mappedLinksRerank = mappedLinks.map(x => `url: ${x.url}, title: ${x.title}, description: ${x.description}`);
       
       // Filter by path prefix if present
       if (pathPrefix) {
-        mappedLinks = mappedLinks.filter(x => x.includes(`/${pathPrefix}/`));
+        mappedLinks = mappedLinks.filter(x => x.url && x.url.includes(`/${pathPrefix}/`));
       }
 
       if (req.body.prompt) {
-        const linksAndScores = await performRanking(mappedLinks, mapUrl);
+        const linksAndScores : { link: string, linkWithContext: string, score: number, originalIndex: number }[] = await performRanking(mappedLinksRerank, mappedLinks.map(l => l.url), mapUrl);
         mappedLinks = linksAndScores
           .filter(x => x.score > SCORE_THRESHOLD)
-          .map(x => x.link.split("url: ")[1].split(",")[0])
+          .map(x => mappedLinks.find(link => link.url === x.link))
-          .filter(x => !isUrlBlocked(x))
+          .filter((x): x is MapDocument => x !== undefined && x.url !== undefined && !isUrlBlocked(x.url))
           .slice(0, MAX_RANKING_LIMIT);
+        console.log("linksAndScores", linksAndScores);
+        console.log("linksAndScores", linksAndScores.length);
       }
 
-      return mappedLinks;
+      return mappedLinks.map(x => x.url) as string[];
 
     } else {
       // Handle direct URLs without glob pattern
@@ -100,6 +106,8 @@ export async function extractController(
   const processedUrls = await Promise.all(urlPromises);
   links.push(...processedUrls.flat());
 
+  console.log("links", links.length);
+  console
   // Scrape all links in parallel
   const scrapePromises = links.map(async (url) => {
     const origin = req.body.origin || "api";

apps/api/src/controllers/v1/map.ts

@@ -1,6 +1,7 @@
 import { Response } from "express";
 import { v4 as uuidv4 } from "uuid";
 import {
+  MapDocument,
   mapRequestSchema,
   RequestWithAuth,
   scrapeOptions,
@@ -129,7 +130,7 @@ export async function getMapResults({
     });
   }
 
-  let mapResults = allResults
+  let mapResults : MapDocument[] = allResults
     .flat()
     .filter((result) => result !== null && result !== undefined);
 

apps/api/src/lib/ranker.ts

@@ -40,24 +40,33 @@ const textToVector = (searchQuery: string, text: string): number[] => {
   });
 };
 
-async function performRanking(links: string[], searchQuery: string) {
+async function performRanking(linksWithContext: string[], links: string[], searchQuery: string) {
   try {
     // Generate embeddings for the search query
     const queryEmbedding = await getEmbedding(searchQuery);
 
     // Generate embeddings for each link and calculate similarity
-    const linksAndScores = await Promise.all(links.map(async (link) => {
+    const linksAndScores = await Promise.all(linksWithContext.map(async (linkWithContext, index) => {
-      const linkEmbedding = await getEmbedding(link);
+      const linkEmbedding = await getEmbedding(linkWithContext);
 
       // console.log("linkEmbedding", linkEmbedding);
-      // const linkVector = textToVector(searchQuery, link);
+      // const linkVector = textToVector(searchQuery, linkWithContext);
       const score = cosineSimilarity(queryEmbedding, linkEmbedding);
       // console.log("score", score);
-      return { link, score };
+      return { 
+        link: links[index], // Use corresponding link from links array
+        linkWithContext,
+        score,
+        originalIndex: index // Store original position
+      };
     }));
 
-    // Sort links based on similarity scores
+    // Sort links based on similarity scores while preserving original order for equal scores
-    linksAndScores.sort((a, b) => b.score - a.score);
+    linksAndScores.sort((a, b) => {
+      const scoreDiff = b.score - a.score;
+      // If scores are equal, maintain original order
+      return scoreDiff === 0 ? a.originalIndex - b.originalIndex : scoreDiff;
+    });
 
     return linksAndScores;
   } catch (error) {

apps/api/src/search/fireEngine.ts

@@ -29,8 +29,6 @@ export async function fireEngineMap(
       page: options.page ?? 1,
     });
 
-    console.log("data", data);
-
     if (!process.env.FIRE_ENGINE_BETA_URL) {
       console.warn(
         "(v1/map Beta) Results might differ from cloud offering currently."