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https://github.com/semantica-agi/semantica.git
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docs: replace all CardGroup/Card blocks with animated bullet points across all 50 docs pages (#648)
- Fix What's new → link in Info banner (now a proper <a> tag, always clickable) - Replace 4-stat CardGroup on index with inline premium stats row - Convert every <CardGroup>/<Card> block site-wide to markdown bullet lists: content sections → bold-title bullets with sub-bullets, nav cards → [Title](href) — description - Add cursor-animated list item hover effects to custom.css: green inset left border, subtle background tint, marker color change on hover - Affects index, getting-started, quickstart, concepts, modules, faq, architecture, installation, cookbook, glossary, learning-more, explorer-setup, cli-setup, community, contributing-guide, governance, citation, project-license, all integrations pages, and all 20+ reference module pages
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@@ -24,23 +24,11 @@ pip install "semantica[agno,graph-neo4j,vectorstore-pgvector]"
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## Components at a Glance
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<CardGroup cols={2}>
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<Card title="AgnoContextStore" icon="database">
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`AgentMemory(db=…)`: Replaces Agno's flat storage with hybrid vector + context graph memory. Adds decision tracking and precedent search to any agent.
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</Card>
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<Card title="AgnoKnowledgeGraph" icon="diagram-project">
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`Agent(knowledge=…)`: Documents flow through the full Semantica extraction pipeline into a queryable `ContextGraph` with multi-hop GraphRAG.
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</Card>
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<Card title="AgnoDecisionKit" icon="list-check">
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`Agent(tools=[…])`: 6 decision intelligence tools: record decisions, find precedents, trace causal chains, analyze impact, check policies, summarize history.
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</Card>
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<Card title="AgnoKGToolkit" icon="wrench">
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`Agent(tools=[…])`: 7 KG construction tools: extract entities, extract relations, add to graph, query graph, find related, infer facts, export subgraph.
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</Card>
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<Card title="AgnoSharedContext" icon="users">
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Team-level: A single `ContextGraph` shared across all agents. Each agent gets a role-scoped view via `bind_agent()`. Writes are tagged by role.
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</Card>
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</CardGroup>
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- **AgnoContextStore** — `AgentMemory(db=…)`: Replaces Agno's flat storage with hybrid vector + context graph memory. Adds decision tracking and precedent search to any agent.
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- **AgnoKnowledgeGraph** — `Agent(knowledge=…)`: Documents flow through the full Semantica extraction pipeline into a queryable `ContextGraph` with multi-hop GraphRAG.
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- **AgnoDecisionKit** — `Agent(tools=[…])`: 6 decision intelligence tools: record decisions, find precedents, trace causal chains, analyze impact, check policies, summarize history.
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- **AgnoKGToolkit** — `Agent(tools=[…])`: 7 KG construction tools: extract entities, extract relations, add to graph, query graph, find related, infer facts, export subgraph.
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- **AgnoSharedContext** — Team-level: A single `ContextGraph` shared across all agents. Each agent gets a role-scoped view via `bind_agent()`. Writes are tagged by role.
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## Component Details
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@@ -233,17 +221,7 @@ All five classes are usable without `agno` installed: they carry the full Semant
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## See Also
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<CardGroup cols={2}>
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<Card title="Context Module" icon="brain" href="../reference/context">
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AgentContext and ContextGraph backing the integration.
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</Card>
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<Card title="Knowledge Graph" icon="diagram-project" href="../reference/kg">
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KG construction used by AgnoKnowledgeGraph.
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</Card>
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<Card title="LLMs" icon="microchip" href="../reference/llms">
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Configure LLM providers for Agno agents.
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</Card>
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<Card title="Vector Store" icon="vector-square" href="../reference/vector_store">
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Vector backend for AgnoContextStore.
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</Card>
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</CardGroup>
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- [Context Module](../reference/context) — AgentContext and ContextGraph backing the integration.
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- [Knowledge Graph](../reference/kg) — KG construction used by AgnoKnowledgeGraph.
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- [LLMs](../reference/llms) — Configure LLM providers for Agno agents.
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- [Vector Store](../reference/vector_store) — Vector backend for AgnoContextStore.
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@@ -11,20 +11,10 @@ icon: "file-lines"
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Docling is integrated into Semantica's `parse` module via the **`DoclingParser`**. Documents pass through Docling's **layout engine**, then feed directly into Semantica's extraction and KG pipeline.
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<CardGroup cols={2}>
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<Card title="Multi-format" icon="file">
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PDF, DOCX, PPTX, HTML, and more.
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</Card>
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<Card title="Table Extraction" icon="table">
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High-fidelity table parsing with header detection.
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</Card>
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<Card title="OCR Support" icon="eye">
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Built-in OCR for scanned documents.
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</Card>
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<Card title="Markdown Export" icon="markdown">
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Clean Markdown output optimized for LLM consumption.
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</Card>
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</CardGroup>
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- **Multi-format** — PDF, DOCX, PPTX, HTML, and more.
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- **Table Extraction** — High-fidelity table parsing with header detection.
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- **OCR Support** — Built-in OCR for scanned documents.
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- **Markdown Export** — Clean Markdown output optimized for LLM consumption.
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## Installation
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@@ -100,17 +90,7 @@ print(f"Pages: {result.get('total_pages')}")
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## See Also
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<CardGroup cols={2}>
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<Card title="Parse Module" icon="file-lines" href="../reference/parse">
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Full DocumentParser and DoclingParser reference.
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</Card>
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<Card title="Ingest Module" icon="file-import" href="../reference/ingest">
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Loading documents before parsing.
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</Card>
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<Card title="Semantic Extract" icon="magnifying-glass" href="../reference/semantic_extract">
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NER and relation extraction on parsed text.
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</Card>
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<Card title="Pipeline" icon="gear" href="../reference/pipeline">
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Using DoclingParser in a full pipeline.
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</Card>
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</CardGroup>
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- [Parse Module](../reference/parse) — Full DocumentParser and DoclingParser reference.
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- [Ingest Module](../reference/ingest) — Loading documents before parsing.
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- [Semantic Extract](../reference/semantic_extract) — NER and relation extraction on parsed text.
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- [Pipeline](../reference/pipeline) — Using DoclingParser in a full pipeline.
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@@ -171,17 +171,7 @@ if not connector.test_connection():
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## See Also
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<CardGroup cols={2}>
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<Card title="Ingest Module" icon="database" href="../reference/ingest">
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Full SnowflakeIngestor and all other ingestors.
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</Card>
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<Card title="Pipeline" icon="gear" href="../reference/pipeline">
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Use Snowflake ingestion as a pipeline step.
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</Card>
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<Card title="Installation" icon="download" href="../installation">
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All optional dependency extras.
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</Card>
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<Card title="Knowledge Graph" icon="diagram-project" href="../reference/kg">
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Build a KG from ingested Snowflake data.
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</Card>
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</CardGroup>
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- [Ingest Module](../reference/ingest) — Full SnowflakeIngestor and all other ingestors.
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- [Pipeline](../reference/pipeline) — Use Snowflake ingestion as a pipeline step.
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- [Installation](../installation) — All optional dependency extras.
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- [Knowledge Graph](../reference/kg) — Build a KG from ingested Snowflake data.
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