RAG Over Enterprise Content with Viglet Turing and MCP
· 3 min read
Retrieval-Augmented Generation (RAG) is only as good as what it retrieves. If the retrieval layer is a throwaway vector index built for one chatbot, you end up rebuilding it for every new use case. The better pattern: make your enterprise search index the retrieval layer, and expose it to AI through the Model Context Protocol (MCP) so any agent can use it as a tool.
That's what Viglet Turing does: your indexed Adobe AEM, WordPress, database, and file content becomes both a search experience and a grounded RAG/agent capability, on your own infrastructure.