Aanckursinghinaikoql.hashnode.dev·20h ago · 16 min readWhy Not Just Use a Vector Database? The Case for Knowledge Infrastructure Beyond RAGVector databases have changed how AI applications work with information. They made semantic search practical. They made it possible to retrieve information based on meaning rather than exact keywords.00
Aanckursinghinaikoql.hashnode.dev·21h ago · 16 min readFrom Documents to Knowledge: How Information Becomes a Knowledge ObjectMost AI knowledge systems begin with documents. PDFs. Markdown files. Wiki pages. GitHub repositories. Support tickets. Logs. Architecture documents. Chat conversations. The usual pipeline looks famil00
Aanckursinghinaikoql.hashnode.dev·1d ago · 15 min readQuerying Knowledge: What Should an AI-Native Query Language Look Like?In the previous posts, I explored Knowledge Objects, provenance, relationships, evidence, and the lifecycle of knowledge. But there is an obvious next question. «If knowledge has its own structure, st00
Aanckursinghinaikoql.hashnode.dev·1d ago · 15 min readKnowledge Has a Lifecycle: Evidence, Contradiction, Supersession, and TimeIn most software systems, we think about data as something that changes. A database record is inserted. Then it is updated. Eventually, it may be deleted. But knowledge behaves differently. A piece of00
Aanckursinghinaikoql.hashnode.dev·1d ago · 17 min readBuilding AIKOQL in Rust: The Architecture Behind an AI-Native Knowledge EngineIn the previous posts, I explored why I am building AIKOQL, the idea of Knowledge Objects, where AIKOQL fits in the modern data ecosystem, and how information might move from documents into structured00
