repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 7d ago
kennethlaw325/awesome-llm-knowledge-systems
The Map Everyone's Missing: LLM Knowledge Engineering in 2026 — First unified guide connecting RAG, Context Engineering, Harness Engineering, Skill Systems, Agent Memory, MCP, and Progressive Disclosure
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%IEEE Rolls Out Large Language Models Virtual Training Course →
- PossiblePossibly related (embedding) · 53%Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows →
- PossiblePossibly related (embedding) · 52%MCP Server Architecture Patterns for LLM-Integrated Applications →
- PossiblePossibly related (embedding) · 51%Generative Skill Composition for LLM Agents →
- PossiblePossibly related (embedding) · 50%Metacognition in LLMs: Foundations, Progress, and Opportunities →
- PossiblePossibly related (embedding) · 53%Domain-tailored RAG framework improves industrial LLM question answering in new engineering study - EurekAlert! →
- PossiblePossibly related (embedding) · 50%Paul Graham Says He Would Learn to Build LLMs If He Were 17 - analyticsindiamag.com →
- PossiblePossibly related (embedding) · 49%New Study Reveals Widespread Use of Problematic Epistemologies (Knowledge Production Functions) in LLMs and Agentic AI - Morningstar →
Covers
Implements
Covers (incoming)
newsDomain-tailored RAG framework improves industrial LLM question answering in new engineering study - EurekAlert!newsPaul Graham Says He Would Learn to Build LLMs If He Were 17 - analyticsindiamag.comnewsNew Study Reveals Widespread Use of Problematic Epistemologies (Knowledge Production Functions) in LLMs and Agentic AI - MorningstarnewsThe Enterprise RAG Handbook: Designing Secure Knowledge Assistants with LLMs - SiliconindianewsLLMs could automate quality control processes, saving radiology departments significant time - Radiology BusinessnewsMirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge - The Association for the Advancement of Artificial IntelligencenewsCan LLMs Perform Deep Technical Comprehension of Computer Architecture PapersnewsContext Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop - towardsdatascience.com
Related across the graph
newsContext Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop - towardsdatascience.compaperMCP Server Architecture Patterns for LLM-Integrated ApplicationsnewsLLMs could automate quality control processes, saving radiology departments significant time - Radiology BusinessnewsMirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge - The Association for the Advancement of Artificial IntelligencepaperMetacognition in LLMs: Foundations, Progress, and OpportunitiespaperGenerative Skill Composition for LLM AgentsnewsCan LLMs Perform Deep Technical Comprehension of Computer Architecture PapersnewsDomain-tailored RAG framework improves industrial LLM question answering in new engineering study - EurekAlert!newsThe Enterprise RAG Handbook: Designing Secure Knowledge Assistants with LLMs - SiliconindiapaperWorkflow as Knowledge: Semantic Persistence for LLM-Mediated WorkflowsnewsPaul Graham Says He Would Learn to Build LLMs If He Were 17 - analyticsindiamag.comnewsIEEE Rolls Out Large Language Models Virtual Training CoursenewsNew Study Reveals Widespread Use of Problematic Epistemologies (Knowledge Production Functions) in LLMs and Agentic AI - Morningstar
