add chunk loop to prevent pinecone upsert errors

README.md

@@ -10,6 +10,8 @@ Tech stack used includes LangChain, Pinecone, Typescript, Openai, and Next.js. L
 
 The visual guide of this repo and tutorial is in the `visual guide` folder.
 
+**If you run into errors, please review the troubleshooting section further down this page.**
+
 ## Development
 
 1. Clone the repo
@@ -58,6 +60,26 @@ PINECONE_ENVIRONMENT=
 
 Once you've verified that the embeddings and content have been successfully added to your Pinecone, you can run the app `npm run dev` to launch the local dev environment and then type a question in the chat interface.
 
+## Troubleshooting
+
+In general, keep an eye out in the `issues` and `discussions` section of this repo for solutions.
+
+**General errors**
+
+- Make sure you're running the latest Node version. Run `node -v`
+- Make sure you're using the same versions of LangChain and Pinecone as this repo.
+- Check that you've created an `.env` file that contains your valid (and working) API keys.
+- If you change `modelName` in `OpenAIChat` note that the correct name of the alternative model is `gpt-3.5-turbo`
+- Pinecone indexes of users on the Starter(free) plan are deleted after 7 days of inactivity. To prevent this, send an API request to Pinecone to reset the counter.
+
+**Pinecone errors**
+
+- Make sure your pinecone dashboard `environment` and `index` matches the one in your `config` folder.
+- Check that you've set the vector dimensions to `1536`.
+- Switch your Environment in pinecone to `us-east1-gcp` if the other environment is causing issues.
+
+If you're stuck after trying all these steps, delete `node_modules`, restart your computer, then `pnpm install` again.
+
 ## Credit
 
 Frontend of this repo is inspired by [langchain-chat-nextjs](https://github.com/zahidkhawaja/langchain-chat-nextjs)

config/pinecone.ts

@@ -4,6 +4,6 @@
 
 const PINECONE_INDEX_NAME = 'langchainjsfundamentals';
 
-const PINECONE_NAME_SPACE = 'demo'; //namespace is optional for your vectors
+const PINECONE_NAME_SPACE = 'pdf-test'; //namespace is optional for your vectors
 
 export { PINECONE_INDEX_NAME, PINECONE_NAME_SPACE };

package.json

@@ -20,7 +20,7 @@
     "@radix-ui/react-accordion": "^1.1.1",
     "clsx": "^1.2.1",
     "dotenv": "^16.0.3",
-    "langchain": "^0.0.33",
+    "langchain": "0.0.33",
     "lucide-react": "^0.125.0",
     "next": "13.2.3",
     "pdf-parse": "1.1.1",

scripts/ingest-data.ts

@@ -30,14 +30,22 @@ export const run = async () => {
     /*create and store the embeddings in the vectorStore*/
     const embeddings = new OpenAIEmbeddings();
     const index = pinecone.Index(PINECONE_INDEX_NAME); //change to your own index name
+
     //embed the PDF documents
-    await PineconeStore.fromDocuments(
-      index,
-      docs,
-      embeddings,
-      'text',
-      PINECONE_NAME_SPACE,
-    );
+
+    /* Pinecone recommends a limit of 100 vectors per upsert request to avoid errors*/
+    const chunkSize = 50;
+    for (let i = 0; i < docs.length; i += chunkSize) {
+      const chunk = docs.slice(i, i + chunkSize);
+      console.log('chunk', i, chunk);
+      await PineconeStore.fromDocuments(
+        index,
+        chunk,
+        embeddings,
+        'text',
+        PINECONE_NAME_SPACE,
+      );
+    }
   } catch (error) {
     console.log('error', error);
     throw new Error('Failed to ingest your data');