Tag: RAG

A source-grounded analysis of AWS and Corley’s Eutelsat case: use code as the source of truth, RAG for domain context, and human-reviewed MCP writes for governed documentation publishing.

A systems reading of AWS's Unified Knowledge Graph RAG reference stack: how GraphRAG and LightRAG share ingestion, graph, hybrid retrieval, and lineage infrastructure while selecting a query strategy per question.

A systems reading of Tencent WeKnora: its three-process core, ingestion and retrieval flows, and how Agents, MCP, sandboxed Skills, memory, and governance share one control plane.

One diagram shows how DPR and Lewis RAG connect to the retrieval papers already on this site.

A copyable Agentic platform contract: what the platform provides, what projects must wire (E·P·J·T), seven non-bypass rules, and where the IT 100-question evidence stops.

Use TREC RAG 2026 to explain how RAG evaluation moved from document QA to agent-in-the-loop. This article covers direction and task design, not enterprise harness implementation.

Using TREC RAG 2026 and RAGDoll as references, design a replayable enterprise RAG evaluation harness: data model, citations, agent traces, judge calibration, and launch gates.

Compares OKF v0.1 and v0.2: provenance, attested computation, source reputation, and the verified family. This article covers what changed—not an OKF primer.

A practical framework for enterprise RAG data pipelines, hybrid search, reranking, GraphRAG, agentic RAG, evaluation, access governance, failure diagnosis, and operations.

An in-depth exploration of LangChain's latest open-source tool, OpenWiki. From the underlying Git Diffs tracking mechanism to the brand-new 'OpenWiki Brains' proactive memory, comprehensively analyzing how to build an exclusive codebase documentation system that reduces Token consumption for AI Coding Agents.

Explore the highlights of Cassie Shum's talk at QCon AI. Learn from the ground up how GraphRAG solves enterprise RAG pain points through Global Context, Multi-hop Reasoning, and Cypher queries, with practical architectural implementations.

PixelRAG shifts retrieval from plain text to webpage screenshot pixels. This post covers what it solves and where the evidence stops—not a "screenshots beat text" slogan.

Introduces Google Cloud's Open Knowledge Format: why files plus YAML serve as the agent knowledge interface, and what OKF is not.

Deep dive into Parallel's long article: From intent capture, tool execution, context compilation to verification and persistence, clarifying the differences between Harness, orchestrator, and framework, and comparing with Anthropic / LangChain examples.

Core insights from the report 'RAG 2026: When Vector Search Meets Agentic Reasoning', plus the site's shipped IT knowledge Q&A case: hybrid retrieval, context validation, rule-first routing, frozen 100-question weighted 98% with 0 unsafe answers; 2026 direction is coarse vector filter plus deep agentic reading.