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 vérification confirme l’identité de l’éditeur (la propriété du dépôt), pas la sûreté du code. L’analyse de sécurité couvre les CVE connues et les scripts d’installation suspects.
Forge n’a aucune analyse enregistrée pour cette entrée et n’a donc aucune observation de sa surface d’outils. C’est une absence de preuve, pas la preuve qu’elle n’expose aucun outil.
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…