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4
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| Author | SHA1 | Date | |
|---|---|---|---|
 KaifAhmad1
|
a41666d309 | ||
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KaifAhmad1
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9cfa0b0d20 | ||
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Mohd Kaif
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837654fc4f | ||
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Mohd Kaif
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2daa937811 |
+4
-183
@@ -1,14 +1,9 @@
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||||
/* ============================================================
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||||
SEMANTICA DOCS — PREMIUM DESIGN SYSTEM
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||||
SEMANTICA DOCS — DESIGN SYSTEM
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||||
Dark-first (#080C10 bg, #10B981 emerald accent)
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||||
Minimal, static styling — no decorative motion.
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||||
============================================================ */
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||||
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||||
/* ── Keyframes ─────────────────────────────────────────────── */
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||||
@keyframes pageFadeIn {
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||||
from { opacity: 0; transform: translateY(6px); }
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||||
to { opacity: 1; transform: translateY(0); }
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}
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||||
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||||
/* ── Global ─────────────────────────────────────────────────── */
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html {
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scroll-behavior: smooth;
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||||
@@ -29,16 +24,7 @@ html {
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||||
}
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||||
::-webkit-scrollbar-thumb:hover { background: rgba(16, 185, 129, 0.4); }
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||||
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||||
/* ── Page entrance ──────────────────────────────────────────── */
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||||
main,
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article,
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||||
[class*="content-area"],
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||||
[class*="ContentArea"],
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||||
[class*="prose"] {
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||||
animation: pageFadeIn 0.35s ease both;
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||||
}
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||||
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||||
/* ── Focus rings ─────────────────────────────────────────────── */
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||||
/* ── Focus rings (accessibility — kept) ─────────────────────── */
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||||
*:focus-visible {
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||||
outline: 2px solid rgba(16, 185, 129, 0.55) !important;
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||||
outline-offset: 3px !important;
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||||
@@ -59,7 +45,7 @@ h1::after {
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||||
left: 0;
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||||
width: 44px;
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||||
height: 2px;
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||||
background: linear-gradient(90deg, #10B981 0%, transparent 100%);
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||||
background: #10B981;
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||||
border-radius: 1px;
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||||
}
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||||
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||||
@@ -71,9 +57,6 @@ article a,
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[class*="prose"] a {
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text-decoration-color: rgba(16, 185, 129, 0.35);
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||||
text-underline-offset: 3px;
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||||
transition:
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||||
text-decoration-color 0.15s ease,
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color 0.15s ease;
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}
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article a:hover,
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@@ -89,14 +72,6 @@ blockquote {
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padding: 0.9rem 1.2rem !important;
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font-style: italic;
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color: rgba(255, 255, 255, 0.68) !important;
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transition:
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border-color 0.2s ease,
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background-color 0.2s ease !important;
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}
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blockquote:hover {
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border-left-color: rgba(16, 185, 129, 0.65) !important;
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background: rgba(16, 185, 129, 0.07) !important;
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}
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/* ── HR / Divider ────────────────────────────────────────────── */
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@@ -123,165 +98,11 @@ table thead th {
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border-bottom: 1px solid rgba(16, 185, 129, 0.18) !important;
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}
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table tbody tr {
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transition: background-color 0.15s ease;
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cursor: default;
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}
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table tbody tr:hover {
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background-color: rgba(16, 185, 129, 0.06) !important;
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}
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table tbody tr:hover td {
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background-color: transparent !important;
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}
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table td,
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table th {
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transition: background-color 0.15s ease;
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}
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||||
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/* ── CODE BLOCKS ─────────────────────────────────────────────── */
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pre,
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[class*="codeblock"],
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[class*="code-group"],
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[class*="CodeBlock"],
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[data-rehype-pretty-code-fragment] {
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transition:
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||||
box-shadow 0.25s cubic-bezier(0.4, 0, 0.2, 1),
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border-color 0.25s cubic-bezier(0.4, 0, 0.2, 1),
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transform 0.25s cubic-bezier(0.4, 0, 0.2, 1) !important;
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}
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pre:hover,
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[class*="codeblock"]:hover,
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[class*="CodeBlock"]:hover,
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[data-rehype-pretty-code-fragment]:hover {
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transform: translateY(-1px) !important;
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box-shadow:
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0 0 0 1px rgba(16, 185, 129, 0.18),
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0 2px 12px rgba(16, 185, 129, 0.06),
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0 8px 32px rgba(0, 0, 0, 0.2) !important;
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border-color: rgba(16, 185, 129, 0.2) !important;
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}
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/* ── CARDS ───────────────────────────────────────────────────── */
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[class*="card"],
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[class*="Card"],
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[data-card],
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.group\/card {
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transition:
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transform 0.22s ease,
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box-shadow 0.22s ease,
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border-color 0.22s ease !important;
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}
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[class*="card"]:hover,
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[class*="Card"]:hover,
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[data-card]:hover,
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.group\/card:hover {
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transform: translateY(-3px) !important;
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box-shadow:
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||||
0 8px 28px rgba(0, 0, 0, 0.18),
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0 0 0 1px rgba(16, 185, 129, 0.22) !important;
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border-color: rgba(16, 185, 129, 0.28) !important;
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}
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||||
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||||
/* ── CALLOUTS / ADMONITIONS ──────────────────────────────────── */
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[class*="callout"],
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[class*="Callout"],
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[class*="admonition"] {
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transition:
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box-shadow 0.2s ease,
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border-color 0.2s ease !important;
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}
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[class*="callout"]:hover,
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[class*="Callout"]:hover,
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[class*="admonition"]:hover {
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box-shadow: 0 2px 16px rgba(16, 185, 129, 0.08) !important;
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border-color: rgba(16, 185, 129, 0.35) !important;
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}
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||||
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/* ── STEPS ───────────────────────────────────────────────────── */
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[class*="step"],
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[class*="Step"] {
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transition: background-color 0.15s ease !important;
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}
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||||
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[class*="step"]:hover,
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[class*="Step"]:hover {
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background-color: rgba(16, 185, 129, 0.04) !important;
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}
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||||
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||||
/* ── INLINE CODE ─────────────────────────────────────────────── */
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||||
:not(pre) > code {
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||||
transition:
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||||
background-color 0.15s ease,
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||||
color 0.15s ease !important;
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||||
cursor: text;
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}
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||||
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||||
:not(pre) > code:hover {
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||||
background-color: rgba(16, 185, 129, 0.16) !important;
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||||
}
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||||
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||||
/* ── NAVIGATION / SIDEBAR ────────────────────────────────────── */
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||||
nav a,
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||||
[class*="sidebar"] a,
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||||
[class*="Sidebar"] a {
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||||
transition: color 0.15s ease !important;
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||||
text-decoration: none;
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||||
position: relative;
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||||
}
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||||
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||||
nav a::after,
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||||
[class*="sidebar"] a::after,
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||||
[class*="Sidebar"] a::after {
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||||
content: "";
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||||
position: absolute;
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||||
bottom: -1px;
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||||
left: 0;
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||||
width: 0;
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||||
height: 1px;
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||||
background: #10B981;
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||||
transition: width 0.2s ease;
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||||
}
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||||
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||||
nav a:hover::after,
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||||
[class*="sidebar"] a:hover::after,
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||||
[class*="Sidebar"] a:hover::after {
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||||
width: 100%;
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||||
}
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||||
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||||
/* ── TEXT / LIST ITEMS ───────────────────────────────────────── */
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||||
ul > li,
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||||
ol > li {
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||||
border-radius: 3px;
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||||
transition: background-color 0.12s ease;
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||||
}
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||||
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||||
ul > li:hover,
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||||
ol > li:hover {
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||||
background-color: rgba(16, 185, 129, 0.04);
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||||
}
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||||
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||||
/* ── PRIMARY BUTTON / CTA ────────────────────────────────────── */
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||||
button[class*="primary"],
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||||
a[class*="primary"],
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||||
[class*="btn-primary"],
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||||
[class*="ButtonPrimary"] {
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||||
transition:
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||||
box-shadow 0.2s ease,
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||||
transform 0.2s ease !important;
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||||
}
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||||
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||||
button[class*="primary"]:hover,
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a[class*="primary"]:hover,
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||||
[class*="btn-primary"]:hover,
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[class*="ButtonPrimary"]:hover {
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||||
box-shadow: 0 0 22px rgba(16, 185, 129, 0.28) !important;
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||||
transform: translateY(-1px) !important;
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||||
}
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||||
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||||
/* ── HIDE THEME TOGGLE ───────────────────────────────────────── */
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||||
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||||
+30
-29
@@ -2,7 +2,7 @@
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||||
"$schema": "https://mintlify.com/docs.json",
|
||||
"theme": "mint",
|
||||
"name": "Semantica",
|
||||
"description": "The Accountability and Context Layer for AI — Context Graphs · Decision Intelligence · Full Provenance",
|
||||
"description": "The Context and Semantic Layer for AI in High-Stakes Domains — Context Graphs · Decision Intelligence · Full Provenance",
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||||
"colors": {
|
||||
"primary": "#10B981",
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||||
"light": "#10B981",
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||||
@@ -43,7 +43,7 @@
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||||
"raiseIssue": true
|
||||
},
|
||||
"metadata": {
|
||||
"og:title": "Semantica — Accountability & Context Layer for AI",
|
||||
"og:title": "Semantica — Context & Semantic Layer for AI in High-Stakes Domains",
|
||||
"og:description": "Build explainable, auditable knowledge graphs with full provenance. Open source. MIT licensed.",
|
||||
"og:image": "/assets/img/semantica-logo.png",
|
||||
"twitter:card": "summary_large_image",
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||||
@@ -121,6 +121,23 @@
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||||
"pages": [
|
||||
"vector_stores/pgvector"
|
||||
]
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||||
},
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||||
{
|
||||
"group": "FAQ",
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||||
"pages": [
|
||||
"faq"
|
||||
]
|
||||
},
|
||||
{
|
||||
"group": "Community",
|
||||
"pages": [
|
||||
"community",
|
||||
"community-projects",
|
||||
"contributing-guide",
|
||||
"governance",
|
||||
"citation",
|
||||
"project-license"
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||||
]
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||||
}
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||||
]
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||||
},
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||||
@@ -167,7 +184,17 @@
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||||
"guides/policy-engine",
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||||
"guides/visualization",
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||||
"guides/distance-intelligence",
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||||
"guides/graph-analytics",
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||||
"guides/graph-analytics"
|
||||
]
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||||
}
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||||
]
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||||
},
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||||
{
|
||||
"tab": "API Reference",
|
||||
"groups": [
|
||||
{
|
||||
"group": "Context & Intelligence",
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||||
"pages": [
|
||||
"reference/context",
|
||||
"reference/kg",
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||||
"reference/temporal",
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||||
@@ -236,32 +263,6 @@
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||||
]
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||||
}
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||||
]
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||||
},
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||||
{
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||||
"tab": "FAQ",
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||||
"groups": [
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||||
{
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||||
"group": "FAQ",
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||||
"pages": [
|
||||
"faq"
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||||
]
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||||
},
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||||
{
|
||||
"group": "Community",
|
||||
"pages": [
|
||||
"community",
|
||||
"community-projects",
|
||||
"contributing-guide",
|
||||
"governance",
|
||||
"citation",
|
||||
"project-license"
|
||||
]
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||||
}
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||||
]
|
||||
},
|
||||
{
|
||||
"tab": "Changelog",
|
||||
"href": "https://github.com/semantica-agi/semantica/releases"
|
||||
}
|
||||
]
|
||||
},
|
||||
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||||
+41
-51
@@ -1,97 +1,87 @@
|
||||
---
|
||||
title: "Semantica"
|
||||
description: "The Accountability and Context Layer for AI: Context Graphs · Decision Intelligence · Full Provenance"
|
||||
description: "The Context and Semantic Layer for AI in High-Stakes Domains: Context Graphs · Decision Intelligence · Full Provenance"
|
||||
---
|
||||
|
||||
```bash
|
||||
pip install semantica
|
||||
```
|
||||
|
||||
Your AI agent just made a decision. Now someone needs to explain it.
|
||||
Most AI agents store embeddings, not meaning. They can't say why a fact was recalled, where it came from, or what led to a decision. In healthcare, finance, legal, and government, that lack of a traceable record blocks production deployment.
|
||||
|
||||
*What did it know at the time? Which facts shaped the outcome? Where did those facts come from? Has it made the same call before: and did that go well?*
|
||||
|
||||
If your stack can't answer those questions with a traceable record, you have a gap. Not a capability gap: an **accountability gap**. It's the reason AI hasn't landed at scale in healthcare, finance, legal, and government. And it's why teams building for those markets keep rebuilding the same guardrails from scratch.
|
||||
|
||||
**Semantica closes that gap.** It's the context and accountability layer that sits beneath your existing agent framework: not a replacement for LangChain or LlamaIndex, but the infrastructure that makes their outputs trustworthy.
|
||||
Semantica is the context and semantic layer for AI in high-stakes domains, sitting beneath your existing agent framework. It doesn't replace LangChain or LlamaIndex; it makes their outputs traceable.
|
||||
|
||||
|
||||
## The Problem Every Production AI Team Hits
|
||||
## What Most AI Stacks Are Missing
|
||||
|
||||
Powerful agents aren't automatically trustworthy ones. Five structural blind spots make modern AI systems impossible to deploy in regulated environments:
|
||||
|
||||
**No memory structure** — agents store embeddings, not meaning
|
||||
**No memory structure.** Agents store embeddings, not meaning.
|
||||
- No way to ask *why* a fact was recalled
|
||||
- No link from a recalled fact back to its source document
|
||||
- Context is a black box that resets on every run
|
||||
|
||||
**No decision trail** — agents act continuously but record nothing
|
||||
**No decision trail.** Agents act continuously but record nothing.
|
||||
- No history to hand to a regulator or auditor
|
||||
- No way to replay or reproduce a past decision
|
||||
- Debugging means re-running, not reviewing
|
||||
|
||||
**No provenance** — outputs can't be traced to source facts
|
||||
- In healthcare, finance, and legal: this is a hard compliance blocker
|
||||
**No provenance.** Outputs can't be traced to source facts.
|
||||
- A hard compliance blocker in healthcare, finance, and legal
|
||||
- No lineage from inference back to the original document
|
||||
- Impossible to demonstrate what the agent actually relied on
|
||||
- No way to demonstrate what the agent actually relied on
|
||||
|
||||
**No reasoning transparency** — black-box answers with no explanation
|
||||
- Impossible to validate the reasoning path
|
||||
- Impossible to contest a specific conclusion
|
||||
**No reasoning transparency.** Black-box answers with no explanation.
|
||||
- No way to validate the reasoning path
|
||||
- No way to contest a specific conclusion
|
||||
- No basis for improving or correcting future behavior
|
||||
|
||||
**No conflict detection** — contradictory facts silently coexist in vector stores
|
||||
**No conflict detection.** Contradictory facts silently coexist in vector stores.
|
||||
- No detection when two sources disagree
|
||||
- Outputs become inconsistent and unpredictable over time
|
||||
- Silent failures compound as the knowledge base grows
|
||||
|
||||
<Note>
|
||||
These aren't edge cases. They're why enterprise AI pilots stall: and why your compliance team keeps saying *not yet*.
|
||||
</Note>
|
||||
|
||||
|
||||
## What Semantica Adds to Your Stack
|
||||
|
||||
Semantica gives every agent the infrastructure it needs to be accountable. Drop it into your existing setup in minutes:
|
||||
Semantica gives every agent the infrastructure it needs to be accountable, and it drops into an existing setup in minutes.
|
||||
|
||||
**Context Graphs** — a structured, queryable graph of everything your agent knows, decides, and reasons about
|
||||
- Persistent across agent runs: no context loss between sessions
|
||||
**Context Graphs.** A structured, queryable graph of everything your agent knows, decides, and reasons about.
|
||||
- Persistent across agent runs, with no context loss between sessions
|
||||
- Queryable with SPARQL and full graph algorithms
|
||||
- Temporal model with `valid_from` / `valid_until` on nodes and edges
|
||||
- Point-in-time snapshots of the full knowledge state
|
||||
|
||||
**Decision Intelligence** — every decision is a first-class object in your system
|
||||
**Decision Intelligence.** Every decision is a first-class object in your system.
|
||||
- `record_decision()` captures full lifecycle and causal chain
|
||||
- Hybrid precedent search over past decisions for consistency
|
||||
- `analyze_decision_impact()` shows downstream consequences
|
||||
- Causal chain visualization from trigger to outcome
|
||||
|
||||
**Full Provenance** — every fact links to its source document and ingestion event
|
||||
**Full Provenance.** Every fact links to its source document and ingestion event.
|
||||
- W3C PROV-O compliant lineage across all modules
|
||||
- Full traceability from raw input to final inference
|
||||
- `recorded_at` stamping with OWL-Time export
|
||||
- Audit-ready for HIPAA, SOX, GDPR, FDA 21 CFR Part 11
|
||||
|
||||
**Reasoning Engines** — explainable reasoning paths, not black boxes
|
||||
**Reasoning Engines.** Explainable reasoning paths, not black boxes.
|
||||
- Forward chaining, Rete, deductive, abductive
|
||||
- SPARQL query-based inference over RDF graphs
|
||||
- Datalog with recursive Horn clause rules
|
||||
- Every conclusion backed by a traceable derivation path
|
||||
|
||||
**Temporal Intelligence** — your graph knows not just *what*, but *when*
|
||||
- Allen interval algebra: all 13 temporal relations
|
||||
**Temporal Intelligence.** Your graph knows not just *what*, but *when*.
|
||||
- Allen interval algebra covering all 13 temporal relations
|
||||
- Point-in-time queries over historical graph states
|
||||
- Temporal provenance stamping on every fact
|
||||
- OWL-Time export for standards-compliant archiving
|
||||
|
||||
**Ontology Hub** — full ontology lifecycle in the browser
|
||||
**Ontology Hub.** Full ontology lifecycle in the browser.
|
||||
- Visual editor for schema design and editing
|
||||
- SHACL Studio for constraint authoring and validation
|
||||
- Alignment authoring across multiple ontologies
|
||||
- Health dashboard and version control built in
|
||||
|
||||
<Tip>
|
||||
Works alongside any LLM provider and any agent framework: add it to an existing stack without changing your architecture.
|
||||
Works alongside any LLM provider and any agent framework. Add it to an existing stack without changing your architecture.
|
||||
</Tip>
|
||||
|
||||
<img src="/assets/img/diagrams/architecture-overview.svg" alt="Semantica four-layer architecture: Ingestion → Processing → Intelligence → Application" style={{ width: '100%', borderRadius: '12px', margin: '24px 0' }} />
|
||||
@@ -185,17 +175,17 @@ decision_id = context.record_decision(
|
||||
|
||||
</CodeGroup>
|
||||
|
||||
- [Full Quickstart](/quickstart) — Step-by-step pipeline walkthrough
|
||||
- [Cookbook](/cookbook) — 40+ real-world Jupyter notebooks
|
||||
- [Join Discord](https://discord.gg/sV34vps5hH) — Community chat and support
|
||||
- [Full Quickstart](/quickstart): step-by-step pipeline walkthrough
|
||||
- [Cookbook](/cookbook): 40+ real-world Jupyter notebooks
|
||||
- [Join Discord](https://discord.gg/sV34vps5hH): community chat and support
|
||||
|
||||
|
||||
## Built for Where Mistakes Have Consequences
|
||||
## Industry Use Cases
|
||||
|
||||
Semantica was designed for domains where every decision must be explainable and every fact must be traceable.
|
||||
Semantica is used in domains where every decision must be explainable and every fact must be traceable.
|
||||
|
||||
<Warning>
|
||||
**This is system-level explainability, not foundation-model explainability.** Semantica does not expose, reconstruct, or explain what happens *inside* the LLM/foundation model — its internal reasoning or chain-of-thought stays opaque, as it does for any external system. What Semantica explains is *outside* the model: the context and data fed in, the decision produced, its provenance, the relevant relationships, the policies applied, and the full execution trail. See [Core Concepts](/concepts) for the full scope note.
|
||||
**This is system-level explainability, not foundation-model explainability.** Semantica does not expose, reconstruct, or explain what happens *inside* the LLM/foundation model. Its internal reasoning or chain-of-thought stays opaque, as it does for any external system. What Semantica explains is *outside* the model: the context and data fed in, the decision produced, its provenance, the relevant relationships, the policies applied, and the full execution trail. See [Core Concepts](/concepts) for the full scope note.
|
||||
</Warning>
|
||||
|
||||
**Healthcare & Life Sciences**
|
||||
@@ -256,7 +246,7 @@ Semantica was designed for domains where every decision must be explainable and
|
||||
- Knowledge graphs vs. vector stores: when to use each
|
||||
- What GraphRAG is and how Semantica implements it
|
||||
- How provenance and decision tracking work together
|
||||
- The accountability layer architecture
|
||||
- The context and semantic layer architecture
|
||||
</Step>
|
||||
<Step title="Go deep on any module">
|
||||
Every module has a dedicated [reference page](/reference/context) with:
|
||||
@@ -266,12 +256,12 @@ Semantica was designed for domains where every decision must be explainable and
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
- [Installation](/installation) — Get Semantica installed in under a minute
|
||||
- [Quickstart](/quickstart) — Build a complete knowledge graph pipeline in 5 minutes
|
||||
- [Core Concepts](/concepts) — The mental model behind the API
|
||||
- [API Reference](/reference/context) — Exact module, class, and method details
|
||||
- [Cookbook](/cookbook) — Domain notebooks for real-world use cases
|
||||
- [Changelog](https://github.com/semantica-agi/semantica/releases) — Release history
|
||||
- [Installation](/installation): get Semantica installed in under a minute
|
||||
- [Quickstart](/quickstart): build a complete knowledge graph pipeline in 5 minutes
|
||||
- [Core Concepts](/concepts): the mental model behind the API
|
||||
- [API Reference](/reference/context): exact module, class, and method details
|
||||
- [Cookbook](/cookbook): domain notebooks for real-world use cases
|
||||
- [Changelog](https://github.com/semantica-agi/semantica/releases): release history
|
||||
|
||||
|
||||
## Full Capabilities
|
||||
@@ -394,20 +384,20 @@ Semantica was designed for domains where every decision must be explainable and
|
||||
|
||||
## Why Semantica?
|
||||
|
||||
**Open Source, MIT** — No vendor lock-in. No paywalled features.
|
||||
**Open Source, MIT.** No vendor lock-in, no paywalled features.
|
||||
- Full source available on GitHub
|
||||
- Every line auditable by your security team
|
||||
- Fork, extend, and self-host with no restrictions
|
||||
- No telemetry, no usage reporting
|
||||
|
||||
**Production Ready** — Built for teams that can't afford surprises.
|
||||
**Production Ready.** Built for teams that can't afford surprises.
|
||||
- 1,000+ passing tests with full regression coverage
|
||||
- `PipelineValidator` catches configuration errors at startup
|
||||
- `FailureHandler` with exponential backoff and dead-letter queues
|
||||
- Ongoing security hardening: fixes shipped in every release ([CHANGELOG](https://github.com/semantica-agi/semantica/blob/main/CHANGELOG.md))
|
||||
- Ongoing security hardening, with fixes shipped in every release ([CHANGELOG](https://github.com/semantica-agi/semantica/blob/main/CHANGELOG.md))
|
||||
|
||||
**Modular by Design** — Import only what you need.
|
||||
**Modular by Design.** Import only what you need.
|
||||
- Use `NERExtractor` without a graph store
|
||||
- Use `ContextGraph` without vector storage
|
||||
- Every component independently swappable and testable
|
||||
- No framework lock-in: works with any agent stack
|
||||
- No framework lock-in, and works with any agent stack
|
||||
|
||||
Reference in New Issue
Block a user