Updated to make chatbot work.

nswekosk · Apr 21, 2023 · 0ab8d2d · 0ab8d2d
1 parent f1ee996
commit 0ab8d2d
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Showing 3 changed files with 5 additions and 4 deletions.
diff --git a/config/pinecone.ts b/config/pinecone.ts
@@ -2,7 +2,7 @@
  * Change the namespace to the namespace on Pinecone you'd like to store your embeddings.
  */
 
-if (!process.env.PINECONE_INDEX_NAME) {
+if (!process.env['PINECONE_INDEX_NAME']) {
   throw new Error('Missing Pinecone index name in .env file');
 }
 

diff --git a/pages/index.tsx b/pages/index.tsx
@@ -25,7 +25,7 @@ export default function Home() {
   }>({
     messages: [
       {
-        message: 'Hi, what would you like to learn about this legal case?',
+        message: 'Hi, ask a question to learn about Nick\'s professional experience',
         type: 'apiMessage',
       },
     ],
@@ -224,7 +224,7 @@ export default function Home() {
                     placeholder={
                       loading
                         ? 'Waiting for response...'
-                        : 'What is this legal case about?'
+                        : 'What would you like to know about Nick?'
                     }
                     value={query}
                     onChange={(e) => setQuery(e.target.value)}

diff --git a/scripts/ingest-data.ts b/scripts/ingest-data.ts
@@ -30,9 +30,10 @@ export const run = async () => {
 
     console.log('creating vector store...');
     /*create and store the embeddings in the vectorStore*/
+    console.log('index name: ', PINECONE_INDEX_NAME);
     const embeddings = new OpenAIEmbeddings();
     const index = pinecone.Index(PINECONE_INDEX_NAME); //change to your own index name
-
+    console.log('fromDocuments...');
     //embed the PDF documents
     await PineconeStore.fromDocuments(docs, embeddings, {
       pineconeIndex: index,