Rag from LucasSantana-Dev/forgekit.

Gather and structure scientific papers for RAG ingestion using Semantic Scholar and BGPT.

For developers using Google's Agent Platform to build RAG applications with Gemini and managed corpora.

Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.

AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.

37 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator (with semantic version bumper and hotfix/rollback procedures), API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor