{"repo":"Kelsus/kelsus-oss-ai-ref-arch","free":true,"listed":false,"github":"https://github.com/Kelsus/kelsus-oss-ai-ref-arch","clone":"git clone https://github.com/Kelsus/kelsus-oss-ai-ref-arch.git","description":"Sovereign LLM/RAG reference architecture: open-weight models for regulated document workloads, benchmarked self-hosted vs Amazon Bedrock vs the frontier. Synthetic data, reproducible, in-VPC.","language":"Python","stars":54,"topics":[],"license":"Apache-2.0","category":"self-hosted-apps","readme_excerpt":"Sovereign LLM/RAG Reference Architecture A benchmarked reference architecture for document-heavy AI workloads on AWS, where the data never leaves the customer's account. This repository is the working build behind the Kelsus public reference architecture. A platform engineer can read it, decide whether self-hosting open-weight models for regulated document workloads fits their case, and reproduce the numbers. Every claim in the writeup comes from a measurement produced by the harness in bench/ , run against the infrastructure in infra/ . Status: complete. The infrastructure, both applications, and the eval and load harness run end to end. The same-weights benchmark is finished: each current-generation open-weight model in the lineup was measured self-hosted on our vLLM stack, on Amazon Bedrock, and against the frontier (Claude Opus 4.8 and Sonnet 4.6). The headline results are in Benchmark results; the per-model tables, methods, and confidence intervals are in docs/benchmarks/ . --- What it covers This targets sovereign open-source AI for financial-services document workloads, with medical-financial claims as the adjacent case. The constraint across all of them is no third-party data egress. Two applications exercise the stack end to end and produce the benchmark numbers: - Claims & Invoice Intake ( apps/claims-intake ): extract, classify, route, reconcile, and chase, over synthetic medical claims and invoices. Measures extraction F1, classification accuracy, agentic completi","default_branch":null,"files":null,"tree":[],"storefront":"/r/Kelsus","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Kelsus/kelsus-oss-ai-ref-arch/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}