Adding a Private Knowledge Base to My VCF PAIS Llama Agent
I prepare my S3 document library for retrieval in VCF PAIS, with the indexing procedure, agent configuration, and validation checks for my Llama agent.
I prepare my S3 document library for retrieval in VCF PAIS, with the indexing procedure, agent configuration, and validation checks for my Llama agent.
I deploy a read-only MCP service in my application VKS cluster, connect it to my PAIS Llama agent, and verify live workload status through browser chat.
In my lab, I deploy an NGINX and Node.js browser chat interface on Kubernetes, connect it to my PAIS agent, and configure VCF Automation sign-in, TLS, DNS, and streaming. Includes example source.
In my lab, I create a PAIS agent using my Llama endpoint, add clear instructions, configure conversation history, and test responses and capability boundaries in the Playground.
In my lab, I deploy Llama 3.1 8B from Harbor to a PAIS GPU endpoint, configure vLLM for my 20 GiB GPU, validate chat and tool-call parsing, and retain a rollback path.
