{% extends "base.html" %} {% block title %}Vector Memory — Agent Dashboard{% endblock %} {% block page_css %} {% endblock %} {% block content %}

Vector Semantic Memory

Embedding index, semantic search, and growth analytics

Total
{{ stats.total }}
Semantic
{{ stats.semantic_count }}
Hash Fallback
{{ stats.hash_count }}
Quality
{{ stats.semantic_pct }}%
Provider
{{ stats.provider }}
Status
{% if stats.enabled %}Active{% else %}Disabled{% endif %}
Avg / week
{% if stats.semantic_pct < 50 and stats.total > 0 %}

Low semantic quality — {{ stats.semantic_pct }}% real embeddings

{{ stats.hash_count }} embeddings are hash-based fallbacks. Set VECTOR_MEMORY_ENABLED=true and ensure the Ollama provider is reachable to improve quality.

{% endif %}

Weekly Growth

last 8 weeks

Embedding Quality

{{ stats.semantic_pct }} semantic
Semantic
{{ stats.semantic_count }}
Hash fallback
{{ stats.hash_count }}

By Embed Model

{% if stats.by_model %} {% for model, count in stats.by_model.items() %} {% set pct = ((count / stats.total * 100)|round(1)) if stats.total > 0 else 0 %}
{{ model }}
{{ pct }}% {{ count }}
{% endfor %} {% else %}

No model data yet.

{% endif %}
{% if stats.by_type %}

By Source Type

{% for stype, count in stats.by_type.items() %}
{{ stype }} {{ count }}
{% endfor %}
{% endif %}
{% endblock %}