feat(core): added ai functionality

event-catalog · Feb 25, 2025 · 2ee1b0c · 2ee1b0c
1 parent aa6ead7
commit 2ee1b0c
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Showing 3 changed files with 0 additions and 17 deletions.
diff --git a/eventcatalog/src/enterprise/ai-assistant/components/ChatWindow.tsx b/eventcatalog/src/enterprise/ai-assistant/components/ChatWindow.tsx
@@ -129,10 +129,6 @@ const ChatWindow = ({ catalogPath }: { catalogPath: string }) => {
                 role: msg.isUser ? 'user' : 'assistant',
                 content: msg.content,
               })),
-              // {
-              //     role: "system",
-              //     content: cachedLLMsText
-              // },
               {
                 role: 'user',
                 content: inputValue,

diff --git a/eventcatalog/src/enterprise/ai-assistant/components/workers/document-importer.ts b/eventcatalog/src/enterprise/ai-assistant/components/workers/document-importer.ts
@@ -1,19 +1,10 @@
 import { HuggingFaceTransformersEmbeddings } from '@langchain/community/embeddings/huggingface_transformers';
 import { MemoryVectorStore } from 'langchain/vectorstores/memory';
 
-// import documents from '@ai/documents.json';
-// import embeddings from '@ai/embeddings.json';
-
-// import documents from '/Users/dboyne/Dev/eventcatalog/eventcatalog/examples/default/generated-ai/documents.json';
-
-// const documents = [];
-// const embeddings = [];
-
 const embeddingsInstance = new HuggingFaceTransformersEmbeddings({ model: 'Xenova/all-MiniLM-L6-v2' });
 
 // Create the vector store
 const vectorStore = new MemoryVectorStore(embeddingsInstance);
-// Hydrate the vector store
 
 let documents: any;
 let embeddings: any;

diff --git a/eventcatalog/src/enterprise/ai-assistant/components/workers/engine.ts b/eventcatalog/src/enterprise/ai-assistant/components/workers/engine.ts
@@ -1,9 +1,5 @@
 import { WebWorkerMLCEngineHandler } from '@mlc-ai/web-llm';
 
-// TypeScript declaration for self in Web Worker context
-// @ts-ignore
-declare const self: DedicatedWorkerGlobalScope;
-
 // Hookup an Engine to a worker handler
 const handler = new WebWorkerMLCEngineHandler();
 self.onmessage = (msg: MessageEvent) => {