Tag
The article provides an overview of 20 advanced RAG (Retrieval-Augmented Generation) types expected to be relevant in 2026, covering long-document memory, adaptive retrieval, multimodal grounding, multilingual QA, graph reasoning, and security-focused RAG approaches.
This article compares the applicable scenarios and selection suggestions of three knowledge base retrieval schemes: Regular RAG, Knowledge Graph RAG, and LLM Wiki, emphasizing choosing the right scheme based on data morphology and avoiding blind use of complex tools.
This paper benchmarks GraphRAG for EHR schema retrieval using local LLMs on consumer hardware, evaluating models like Llama 3.1, Mistral, Qwen 2.5, and Phi-4-mini.
A developer shares an architecture using Neo4j knowledge graphs with typed entities and deduplication to solve the problem of AI agents forgetting entity identity across sessions, moving beyond flat files and vector stores.
This paper proposes SoVA, a framework using GraphRAG to align LLM-based agents with human social values by converting psychological theories into prescriptive instructions. Experiments on the DAILYDILEMMAS benchmark show significant improvements over prompt-based baselines.
JustHireMe V0.1.31 is a major update to the local-first AI job search tool, adding a command center dashboard, custom job analysis, outreach generator, rebuilt knowledge graph, job pipeline CRM, live activity stream, built-in AI assistant, and modular agent configuration. It remains open source, free, and privacy-first.
PersonalAI 2.0 introduces a framework that enhances LLM-based systems by integrating external knowledge graphs with dynamic multistage query processing and adaptive planning mechanisms, achieving reductions in hallucination rates and improved precision across multiple benchmarks.
The author argues that GraphRAG is fundamentally a data modeling problem rather than just a retrieval algorithm, proposing a five-component architecture using ontologies, knowledge graphs, and an MCP server for unified agent memory.
Researchers fine-tuned BioMistral-7B with QLoRA and GraphRAG to create a TB-care LLM for South Africa, showing improved contextual alignment over the base model.