AVANTIAI INNOVATORS

AVANTI AI INNOVATORS / DAVID GARGAN

VALESKA

The architecture of governed knowledge: retrieval, provenance, permissions, and institutional memory in VALESKA.

VALESKA

Making Visual Description Practical

A visual-description pipeline is useful only if it can work at a practical pace. I am overlapping image preparation with inference and enabling GPU features where available.

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VALESKA

Letting Images Describe Themselves

I am adding a visual-description pipeline because prompts alone are too limited for reliable retrieval. Generated natural-language captions become part of the search record alongside the original catalog evidence.

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VALESKA

Making Visual Similarity Searchable

Folders alone can no longer make the visual collection usable. I am connecting its catalog to the VALESKA PostgreSQL and pgvector store so related images can be found by meaning as well as recorded fields.

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VALESKA

Mapping Images to Narrative

VALESKA needs visual material to retain its place in the work, not merely a location on a drive. I am extending the collector with episode, scene, and beat fields while adding curated and working sources.

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VALESKA

Making Each Change Traceable

In December 2025, VALESKA’s working method adds explicit atomic commits and task records so a change can be reviewed, reconstructed, and carried forward.

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VALESKA

Giving VALESKA a Public Face

In December 2025, VALESKA gains an Astro and TypeScript web presence so its architecture, purpose, and progress can be understood outside the repository.

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VALESKA

VALESKA Begins with the Work

The August 2025 repository inception: a practical system for governed discovery, semantic search, APQC classification, and knowledge that follows the work.

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