diff --git a/profiles/qwen.json b/profiles/qwen.json
index b7ba37a..a531714 100644
--- a/profiles/qwen.json
+++ b/profiles/qwen.json
@@ -4,12 +4,12 @@
     "model": {
         "api": "qwen",
         "url": "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation",
-        "model": "qwen-max"
+        "model": "qwen-plus"
     },
 
     "embedding": {
         "api": "qwen",
         "url": "https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding",
-        "model": "text-embedding-v2"
+        "model": "text-embedding-v3"
     }
 }
\ No newline at end of file
diff --git a/src/agent/prompter.js b/src/agent/prompter.js
index d7b21cf..f514ca8 100644
--- a/src/agent/prompter.js
+++ b/src/agent/prompter.js
@@ -15,6 +15,7 @@ import { GroqCloudAPI } from '../models/groq.js';
 import { HuggingFace } from '../models/huggingface.js';
 import { Qwen } from "../models/qwen.js";
 import { Grok } from "../models/grok.js";
+import {cosineSimilarity} from "../utils/math.js";
 
 export class Prompter {
     constructor(agent, fp) {
@@ -163,7 +164,30 @@ export class Prompter {
             throw error;
         }
     }
+    async getRelevantSkillDocs(message, select_num) {
+        let latest_message_embedding = '';
+        if(message) //message is not empty, get the relevant skill docs, else return all skill docs
+            latest_message_embedding = await this.embedding_model.embed(message);
 
+        let skill_doc_similarities = Object.keys(this.skill_docs_embeddings)
+            .map(doc_key => ({
+                doc_key,
+                similarity_score: cosineSimilarity(latest_message_embedding, this.skill_docs_embeddings[doc_key])
+            }))
+            .sort((a, b) => b.similarity_score - a.similarity_score);
+
+        let length = skill_doc_similarities.length;
+        if (typeof select_num !== 'number' || isNaN(select_num) || select_num < 0) {
+            select_num = length;
+        } else {
+            select_num = Math.min(Math.floor(select_num), length);
+        }
+        let selected_docs = skill_doc_similarities.slice(0, select_num);
+        let relevant_skill_docs = '#### RELEVENT DOCS INFO ###\nThe following functions are listed in descending order of relevance.\n';
+        relevant_skill_docs += 'SkillDocs:\n'
+        relevant_skill_docs += selected_docs.map(doc => `${doc.doc_key}`).join('\n### ');
+        return relevant_skill_docs;
+    }
     async replaceStrings(prompt, messages, examples=null, to_summarize=[], last_goals=null) {
         prompt = prompt.replaceAll('$NAME', this.agent.name);