# Fodda: The AI Context Layer

> Nourishing AI with trusted human insight through expert-built context graphs.

## Core Purpose
Fodda is a marketplace for "Perspective Engines." We provide structured knowledge graphs (RDF/JSON-LD) that add human expertise and logic to LLM reasoning, solving the problem of "probabilistic averaging" in generic AI models.

## Key Resources
- [SIC Graph](https://www.fodda.ai/#/graphs/sic): Contemporary intelligence across brand and culture by Ben Dietz.
- [Waldo Trends Graph](https://www.fodda.ai/#/graphs/waldo-trends): Multi-industry trend intelligence.
- [PSFK Retail Graph](https://www.fodda.ai/#/graphs/psfk-retail): Commerce and CX context.
- [PSFK Beauty Graph](https://www.fodda.ai/#/graphs/psfk-beauty): Biotech and efficacy context.
- [PSFK Sports Graph](https://www.fodda.ai/#/graphs/psfk-sports): Fandom and media platform context.
- [Public Beliefs Baseline](https://www.fodda.ai/#/graphs/pew-baseline): Grounding layer based on Pew Research Center data.
- [Snowflake Dataset](https://www.fodda.ai/#/snowflake): Curated trend data for enterprise evaluation and integration.
- [Vertex AI Integration](https://www.fodda.ai/#/vertex-ai-setup-guide): Setup guide for Google Gemini Enterprise.
- [API Manifest](https://www.fodda.ai/catalog.json): Machine-readable catalog of all available context layers.

## Technical Standards
- **Standard**: Knowledge Graphs (RDF/JSON-LD)
- **Delivery**: REST API, GraphQL, and Vertex AI Tools.
- [Explainability](https://www.fodda.ai/#/blog/knowledge-graphs-vs-chatgpt): Every output includes source provenance and expert-vetted evidence links.
- [Blog & Perspectives](https://www.fodda.ai/#/blog): Deep dives into the methodology and philosophy of Context-First AI.

For full technical documentation, see [llms-full.txt](https://www.fodda.ai/public/llms-full.txt).