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Why plain markdown beats vector databases for feeding knowledge to LLMs

By

Formaly

6h ago· 10 min readenOpinion

Summary

This essay argues that the AI industry has unnecessarily complicated knowledge delivery to LLMs using vector databases, SDKs, and proprietary formats, when plain markdown is simpler and more effective. The author celebrates Google's Open Knowledge Format as a standardization of this insight, advocating for open, accessible knowledge sharing over gated, complex infrastructure. The piece traces the evolution from RAG pipelines to the realization that LLMs perform best with plain text, and positions this shift as a philosophical move toward democratizing AI knowledge.

Source

Hacker NewsWhy plain markdown beats vector databases for feeding knowledge to LLMsformaly.io

Key quotes

· 5 pulled
For years we locked context behind vector databases, SDKs, and proprietary catalogs. Then we noticed LLMs are happiest reading plain markdown.
Google's Open Knowledge Format is the moment that realization became a standard.
We built elaborate infrastructure to solve a problem that plain text already solved.
The best way to give an LLM knowledge is the same way you give a human knowledge: just write it down.
Knowledge should not be gated. It should be written down, in plain text, and shared.
Snippet from the RSS feed
For years we locked context behind vector databases, SDKs, and proprietary catalogs. Then we noticed LLMs are happiest reading plain markdown. Google's Open Knowledge Format is the moment that realization became a standard.

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