Library / RAG & Knowledge Bases
RAG & Knowledge Bases
Ask Questions About a PDF with OpenAI and Pinecone
When a chat message arrives, a question-answering chain with OpenAI searches a Pinecone index built from a Google Drive PDF and replies.
What it does
## Try me out 1. In Pinecone, create an index with 1536 dimensions and select it in *both* Pinecone nodes 2. Click 'test workflow' at the bottom of the canvas to load data into the vector store 3. Click 'chat' at the bottom of the canvas to ask questions about the data
The steps
- Google Drive
- Recursive Character Text Splitter
- Embeddings OpenAI
- Default Data Loader
- Question and Answer Chain
- OpenAI Chat Model
- Embeddings OpenAI2
- Vector Store Retriever
- Read Pinecone Vector Store
- Insert into Pinecone vector store
- When clicking 'Chat' button below
- When clicking 'Test Workflow' button
- Set Google Drive file URL
Similar automations
RAG & Knowledge BasesAnswer Questions from Documents with OpenAI and Pinecone RAG24 stepsRAG & Knowledge BasesLoad Google Drive Docs into Pinecone with Context-Aware Chunking13 stepsRAG & Knowledge BasesIndex Google Drive Documents in Pinecone with Contextual Chunking13 stepsRAG & Knowledge BasesChat with Google Drive Files Using Pinecone and OpenAI12 steps