Production-ready RAG + MCP demo: eval-in-CI merge gate, Langfuse traces, structure-aware chunking.
A public Retrieval-Augmented Generation pipeline exposed as an MCP server. Sample content from Veterans Affairs education manuals. The repo implements evaluation, observability, and structure-aware ingestion. Cost/latency tuning, tenant-level access control, and other production concerns are discussed in the article linked below. 📖 Full writeup in Towards AI: Enterprise Internal Knowledge Base…
La verificación confirma la identidad del publicador (la propiedad del repo), no la seguridad del código. El análisis de seguridad cubre los CVE conocidos y los scripts de instalación sospechosos.
Forge no tiene ningún análisis registrado de esta entrada, así que no tiene ninguna observación de su superficie de herramientas. Eso es ausencia de pruebas, no prueba de que no exponga ninguna herramienta.
A public Retrieval-Augmented Generation pipeline exposed as an MCP server. Sample content from Veterans Affairs education manuals. The repo implements evaluation, observability, and structure-aware ingestion. Cost/latency tuning, tenant-level access control, and other production concerns are discussed in the article linked below. 📖 Full writeup in Towards AI: Enterprise Internal Knowledge Base RAG MCP: POC-to-Production RAG demos tend to focus on the quality of the retrieval pipeline, without…