Tag archive
Every note is written before the query that will need it exists. Write-time precision in agent memory is not hard, it is undefined, and the fix is the unit of storage, not a better guess.
Semantic recall inherited an assumption from document search that is false for notes. Ranking by similarity drops the very notes that carry the truth of a correction.
Short answer: build the docs chatbot as two permission-filtered retrieval paths, one for keyword...
Originally published at norvik.tech Introduction Understanding the limitations of...
A framework for querying structured JSON documents using fuzzy logic, producing degree-of-membership scores instead of binary relevance.
Fine-tuning a small language model to generate ElasticSearch DSL queries from natural language, as a proof of concept for domain-specific LLM specialization.
Using GMM clustering to improve retrieval in topically diverse knowledge bases
Rank-ordered search over encrypted documents using oblivious entropy maps, enabling relevance scoring without revealing document contents.
1. The Hook: The UI/UX Nightmare of Strict Dropdowns Every front-end developer has faced...
In the previous series, we built the “Brain” (Agents) and the “Body” (Orchestration). Now, we must...
Regex is quite slow when number of terms to find/replace is in thousands.