explore | Grilled Cheese

Three production checks worth keeping:

Is an agent needed?
Does the citation support the claim?
Who owns recovery?

Pharos Production's AI agent delivery includes evaluation and rollback.
AI agent development: pharosproduction.com

Autonomous AI Lakehouseのデータを Ontologyでつないで Private Agent Factoryから NL2SQL＋RAG＋Knowledge Graphしてみてみた

#Lakehouse #NL2SQL #rag #KnowledgeGraph #PAF

RAG systems need to honor source permissions, not just retrieve text. Amazon Quick and Bedrock Knowledge Bases now verify document-level…

#RAG #AWS #EnterpriseAI #AccessControl
https://aws.amazon.com/blogs/machine-learning/rethinking-access-control-for-rag-with-amazon-quick-and-amazon-bedrock/

Amazon QuickとAmazon BedrockによるRAGのアクセス制御の再設計

Amazon QuickとAmazon Bedrockを活用したRAGシステムにおける、セキュアなアクセス制御の革新的なアプローチを解説。

#AmazonBedrock #AmazonQuick #RAG #セキュリティ #アクセス制御

TriCalRAG is a reproducible benchmark for on-premise log-anomaly detection and root-cause analysis, evaluating Qwen2.5-14B and Mistral-Small-22B on vLLM with one NVIDIA RTX PRO 6000 GPU across BGL, HDFS, Thunderbird, and OpenStack. It…

#TriCalRAG #AIOps #RAG #vLLM
https://arxiv.org/abs/2609.14762

MDKeyChunker asks whether one LLM call per chunk for metadata beats Markdown's free structure in RAG retrieval, testing it with qwen2.5:7b across BM25, dense, and hybrid setups on Qasper and FreshStack datasets. The…

#RAG #Markdown #LLM #InformationRetrieval
https://arxiv.org/abs/2603.23533

La respuesta reproduce bien el documento. El documento rige otro caso.

Recuperación, fidelidad y aplicabilidad son comprobaciones distintas al evaluar un RAG. Una cita abre la revisión; no la termina.

#RAG

blog.nicolauroca.com/rag-document...

"Evaluating retrieval-augmented generation versus long-context input for clinical reasoning over electronic health records" RAG used <8K tokens; imaging improved; diagnosis stable. #RAG #EHR buff.ly/1DMfj7P

"What I Learned on My AWS Al Practitioner Journey" by Vaibhava Kumar Shrivastav

#artificial-intelligence #amazon-bedrock #aws-certification #generative-ai #rag

Set expiry by claim: a historical explanation may use an old revision. A queued action needs current permission and state checks.
RAG freshness worksheet: hackmd.io/@dmytro-nasy...

#RAG #AIAgents #EvidenceFreshness

Hypothetical: a policy is verified at 08:59. A superseding revision is announced at 09:02. At 09:03, the old evidence is only four minutes old, yet it cannot support current instructions.
A five-minute expiry must not overrule a known change.

#RAG #EvidenceFreshness #DataEngineering

Fresh RAG evidence needs a decision-specific expiry.

Pharos Production builds agent evaluation sets. Ask which source governs this decision and what change invalidates it.
AI agent development: pharosproduction.com

#RAG #AIAgents #DataEngineering

EmbeddingGemma 2：テキスト・画像・音声・動画を統合するオープンな軽量マルチモーダル埋め込みモデル

Google DeepMindが発表した「EmbeddingGemma 2」は、テキスト・画像・音声・動画を単一の空間にマッピングする7.4億パラメータのオープンな軽量マルチモーダル埋め込みモデルです。

#Multimodal #Embeddings #OpenSource #EdgeAI #RAG