Try a different PDF or convert your PDF to text first.Make sure you're running the latest Node version.In general, keep an eye out in the issues and discussions section of this repo for solutions. Once you've verified that the embeddings and content have been successfully added to your Pinecone, you can run the app pnpm run dev to launch the local dev environment, and then type a question in the chat interface. If you run into errors troubleshoot below.Ĭheck Pinecone dashboard to verify your namespace and vectors have been added. Run the script npm run ingest to 'ingest' and embed your docs. Inside docs folder, add your pdf files or folders that contain pdf files. Please verify outside this repo that you have access to gpt-4, otherwise the application will not work with it. Change modelName in new OpenAIChat to gpt-3.5-turbo, if you don't have access to gpt-4. In utils/makechain.ts chain change the QA_PROMPT for your own usecase. This namespace will later be used for queries and retrieval. In the config folder, replace the PINECONE_NAME_SPACE with a namespace where you'd like to store your embeddings on Pinecone when you run pnpm run ingest. Visit pinecone to create and retrieve your API keys, and also retrieve your environment and index name from the dashboard.

Visit openai to retrieve API keys and insert into your.

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