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Tagged: okf
Graphify, OKF and RAG: Which Context Layer Does Your Codebase Need
Benchmarks show Graphify ties vector RAG on accuracy. Here is how Graphify, Google's OKF and vector RAG fit together, with failure triggers and a decision matrix.
12 min readBeyond One Retrieval Path: Canonical Knowledge, RAG and Live Queries for Enterprise Agents
Why one retrieval pipeline cannot serve every kind of enterprise knowledge, and how a router can split canonical concepts, RAG discovery and safe live queries.
12 min readOpen Knowledge Format: Markdown Files as a Portable Knowledge Layer for Agents
Google Cloud's OKF turns a folder of markdown files into a knowledge graph for agents. What it solves, how to try it, where it falls short, and how it fits RAG and MCP.
7 min readYou Can't Retrieve a Number Nobody Wrote Down: OKF vs a Vector Database RAG
A verified OKF bundle against a Bedrock knowledge base backed by a vector database, on survey statistics: why computed figures can't be retrieved at all.
10 min readYour AI Agent Doesn't Need More Context. It Needs a Brain It Can Trust
How the Open Knowledge Format turns docs into queryable state with expiry dates, verification and tiered loading so agents stop trusting stale documentation.
9 min readGoogle OKF, Hermes and Gbrain: Folders as Knowledge Graphs
How Google's Open Knowledge Format differs from MCP and RAG, and how Hermes plus Gbrain turn plain Markdown folders into a knowledge graph agents can reuse.
5 min readOKF + RAG: A Hybrid Architecture for Reliable AI Agents
Google's Open Knowledge Format gives AI agents exact, Git-versioned answers, and RAG covers the messy archives. How a small router combines both in one agent.
6 min readPractical notes: OKF Is More Than Markdown: How I Think About a Portable
Operable walkthrough of Practical notes: OKF Is More Than Markdown: How I Think About a Portable: contracts, checks, and drop-in code slots for teams shipping this pattern.
10 min read
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