RAG in Rust, Multi-Agent Orchestration with Hermes, and Arm Metis AI Security Framework
This article discusses advancements in AI and automation, focusing on the development of RAG systems in Rust and the Hermes multi-agent orchestration framework. It highlights the release of Arm's Metis AI security framework, which aims to enhance security testing processes. The content emphasizes the practical applications of these technologies in financial and security domains.
- ▪The Hermes Blueprint is a multi-agent system designed to automate hedge fund morning briefings.
- ▪Arm has open-sourced Metis, an AI security framework that improves upon traditional SAST tools.
- ▪The article provides insights into building a Retrieval Augmented Generation system using Rust, Qdrant, and gRPC.
DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/soytuber/rag-in-rust-multi-agent-orchestration-with-hermes-and-arm-metis-ai-security-framework-3nj2 |
| Publication time | Sat, 30 May 2026 21:35:58 +0000 |
| Retrieval time | 2026-05-30T21:57:40.700Z |
| Last seen | 2026-05-30T21:57:40.700Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | JlbASwUDLHeS |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3812665) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } soy Posted on May 30 • Originally published at media.patentllm.org RAG in Rust, Multi-Agent Orchestration with Hermes, and Arm Metis AI Security Framework #ai #rag #automation RAG in Rust, Multi-Agent Orchestration with Hermes, and Arm Metis AI Security Framework Today's Highlights This week highlights a deep dive into building RAG systems from scratch with Rust, Qdrant, and gRPC, alongside a blueprint for a multi-agent financial briefing system.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
