Acceso IA

Documentación Accesible por IA

Nuestra documentación está diseñada para ser consumida por asistentes de IA, permitiendo a su equipo usar sus herramientas de IA preferidas para aprendizaje y soporte.

AI-access posture

Give internal assistants, retrieval pipelines, and training tools stable documents that match the actual product model.

Manifest entrypoint

/llms.txt

Structured JSON

/api/docs

Seeded knowledge lanes

11 topics

Human + model readable

Markdown

Machine-readable docs

Expose the same objects analysts see so assistants can answer workflow questions without hallucinating the product model

AI-accessible documentation is only useful when it mirrors the real entities, investigations, evidence, and report objects present in the platform.

text

llms.txt

Archivo de referencia rápida para asistentes de IA (similar a robots.txt)

https://vectisconsilium.com/llms.txt

markdown

llms-full.txt

Documentación completa en formato Markdown para contexto completo

https://vectisconsilium.com/llms-full.txt

json

API JSON

Documentación estructurada con metadatos para acceso programático

https://vectisconsilium.com/api/docs

json

API de Temas

Temas individuales con secciones detalladas y ejemplos

https://vectisconsilium.com/api/docs/{topic}

Object model

Investigation overview

Topic documentation should describe the same statuses, fields, and actions the operator sees in the product.

Retrieval context

Analytics and derived outputs

Topic docs work best when they cover both the core objects and the derived analytics layered on top of them.

Usage flow

Cómo Usar con su IA

Puede usar estos endpoints para entrenar su asistente de IA en Public Safety:

  1. 1

    Start with the manifest

    Apunte su IA a https://vectisconsilium.com/llms.txt para contexto rápido

  2. 2

    Pull the full corpus

    Para documentación completa, use https://vectisconsilium.com/llms-full.txt

  3. 3

    Call topic endpoints for targeted retrieval

    Para temas específicos, use https://vectisconsilium.com/api/docs/{topic}

  4. 4

    Refresh the source set on a schedule

    Su IA puede obtener actualizaciones automáticamente para mantenerse al día

Example

Fetch the docs from a model toolchain

Use the manifest for discovery, then pull the full corpus or topic endpoints based on the workflow.

# Quick context
curl https://vectisconsilium.com/llms.txt

# Full corpus for model grounding
curl https://vectisconsilium.com/llms-full.txt

# Structured topic docs
curl https://vectisconsilium.com/api/docs/investigations | jq .

# Markdown export for a single topic
curl https://vectisconsilium.com/api/docs/investigations.md

Knowledge lanes

Temas Disponibles

Start with the topic that matches the question. Pull only what the assistant needs when you are grounding a narrow retrieval workflow.

RAG support

Contenido pre-fragmentado para embedding

Chunk boundaries are already arranged for downstream embedding pipelines.

RAG support

Metadatos ricos para filtrado

Filter by topic, format, and document lineage before content is retrieved.

RAG support

Endpoint de búsqueda para recuperación

Use a retrieval endpoint when you need fresh topic content without copying the full corpus.

RAG support

Seguimiento de versiones para frescura

Keep assistants aligned with the latest published guidance instead of static training snapshots.

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