thought it would be useful for some folks to see more details on how to use the Azure Open AI + Pinecone + Chainlit + LangChain and Python to process pdf documents, create embeddings, store them into Pinecone index and then retrieve this knowledge for a QnA session with customers. I provided a docker file to build a docker image, build-docker-image. sh script to build a docker image depending on the machine's architecture where the image is expected to run, run-docker-container. sh as a script used to run the docker container locally, and push-docker-image. sh in case we want to deploy the application on Azure.
Hi,
thought it would be useful for some folks to see more details on how to use the Azure Open AI + Pinecone + Chainlit + LangChain and Python to process pdf documents, create embeddings, store them into Pinecone index and then retrieve this knowledge for a QnA session with customers. I provided a docker file to build a docker image, build-docker-image. sh script to build a docker image depending on the machine's architecture where the image is expected to run, run-docker-container. sh as a script used to run the docker container locally, and push-docker-image. sh in case we want to deploy the application on Azure.
Best, Milan