Part 8/10:
First, users will download the desired documents from a service like Google Drive. Once the documents are in the system, they will be processed through the document loader, text splitter, and embeddings model before being stored in a vector store like Pinecone.
In the chat flow, the question will flow from the chat component, utilizing a retriever to find similar content from the vector store, generating context, and eventually receiving a response from the language model.