Cap Ai Vector Engine Sample

THIS PROJECT IS BEING ARCHIVED. IF YOU WANT TO LEARN MORE ABOUT HOW TO USE THE HANA VECTOR ENGINE HEAD OVER TO: https://github.com/SAP-samples/codejam-cap-llm/tree/main

CAP with SAP HANA Vector Engine & SAP Core AI

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Description

This repository contains a code sample on how to build a Cloud Application Programming Model application exposing functionality of SAP AI Core and SAP HANA Cloud Vector Engine using the CAP LLM Plugin. The code also shows how a developer can leverage vector embeddings to provide contextual information to an LLM.

For more information about the end-to-end scenario, take a look at the [architecture documentation](/documentation/architecture.md).

If you want an instructional experience learning about the CAP LLM Plugin, SAP AI Core and SAP Generative AI Hub follow the [Expose capabilities of SAP AI Core with the SAP Cloud Application Programming Model CodeJam](https://github.com/SAP-samples/codejam-cap-llm/tree/main).

Requirements

• A suitable IDE like Visual Studio Code or Neovim
• Install the Cloud Foundry CLI
• Install the hana-cli (optional)
• Create an SAP BTP account
• Create an instance of SAP HANA Cloud.
• Create an instance of SAP AI Core
• Create deployments for model support ChatCompletion gpt-35-turbo or gpt-4 and embedding model `text-em