text
llms.txt
Archivo de referencia rápida para asistentes de IA (similar a robots.txt)
https://vectisconsilium.com/llms.txtNuestra 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
AI-accessible documentation is only useful when it mirrors the real entities, investigations, evidence, and report objects present in the platform.
text
Archivo de referencia rápida para asistentes de IA (similar a robots.txt)
https://vectisconsilium.com/llms.txtmarkdown
Documentación completa en formato Markdown para contexto completo
https://vectisconsilium.com/llms-full.txtjson
Documentación estructurada con metadatos para acceso programático
https://vectisconsilium.com/api/docsjson
Temas individuales con secciones detalladas y ejemplos
https://vectisconsilium.com/api/docs/{topic}Object model
Topic documentation should describe the same statuses, fields, and actions the operator sees in the product.
Retrieval context
Topic docs work best when they cover both the core objects and the derived analytics layered on top of them.
Usage flow
Puede usar estos endpoints para entrenar su asistente de IA en Public Safety:
Apunte su IA a https://vectisconsilium.com/llms.txt para contexto rápido
Para documentación completa, use https://vectisconsilium.com/llms-full.txt
Para temas específicos, use https://vectisconsilium.com/api/docs/{topic}
Su IA puede obtener actualizaciones automáticamente para mantenerse al día
Example
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.mdKnowledge lanes
Start with the topic that matches the question. Pull only what the assistant needs when you are grounding a narrow retrieval workflow.
RAG support
Chunk boundaries are already arranged for downstream embedding pipelines.
RAG support
Filter by topic, format, and document lineage before content is retrieved.
RAG support
Use a retrieval endpoint when you need fresh topic content without copying the full corpus.
RAG support
Keep assistants aligned with the latest published guidance instead of static training snapshots.
Contáctenos para soporte de integración de IA personalizada o soluciones RAG empresariales.