Welcome to FoxNose Documentation

FoxNose is the serverless knowledge platform for building sophisticated AI applications. It replaces the complex, fragmented stack of databases, search engines, and ETL scripts with a single, powerful, and unified API.

The Challenge

Traditionally, building AI-powered applications that rely on external knowledge involves stitching together multiple, disconnected services:

  1. Primary Data Store (e.g., Postgres): Holds your core business data.
  2. Full-Text Search Engine (e.g., Elasticsearch): For keyword-based search.
  3. Vector Database (e.g., Pinecone): For semantic, similarity-based search.
  4. ETL & Syncing Scripts: Complex logic to keep data synchronized across all three systems.
  5. Backend API: An orchestration layer that attempts to join results from different search indexes (keyword and vector) and enrich them with data from the primary store. This is often slow, complex, and delivers inconsistent results.

FoxNose: A Unified Solution

Instead of a scattered ecosystem, FoxNose provides a single, unified solution:

  • Unified Data & Search: Your data is stored once and is instantly available for filtering, keyword-based (full-text) search, pure semantic (vector) search, or a combination of both using our powerful hybrid search. No more data syncing or complex joins.
  • Built-in Embeddings: Automatically transform your content into vector embeddings on the fly.
  • Comprehensive Data Management: FoxNose provides essential features out-of-the-box, such as environments for different stages (development, staging, production), versioning of schemas and data for seamless evolution, robust data validation to ensure quality, and built-in localization for global reach. These are critical functionalities that would otherwise add significant complexity to a custom solution.
  • Serverless & Scalable: As a fully serverless platform, FoxNose handles all infrastructure concerns. You focus on building your AI application, not on managing servers, scaling databases, or worrying about uptime.
  • One Powerful API: The Flux API provides a single, consistent way to retrieve the exact information you need, perfectly ranked, without building a complex backend orchestration layer.

How It Works

FoxNose is built around a simple, powerful idea: a dual API architecture that separates the curation of knowledge from its retrieval and use in your applications.

1. Curate Your Knowledge with the Management API

The Management API is your control center for shaping and managing the "brain" of your AI. It allows you to:

  • Define Your Data: Create flexible content models using Folders and reusable Components.
  • Manage Content: Populate your knowledge base with Resources, with full support for versioning and schema migrations.
  • Ensure Quality: Use built-in data validation to maintain the integrity of your knowledge base.
  • Work Safely: Leverage isolated Environments (e.g., development, staging, production) for a professional and safe development workflow.
  • Go Global: Natively manage content in multiple languages with powerful Localization features.

This API provides the tools to meticulously curate the high-quality, structured knowledge that high-performance AI applications demand.

2. Retrieve & Search with the Flux API

Once your knowledge is curated, the Flux API provides a high-performance, read-only interface to retrieve it for your applications. It offers powerful, multi-faceted search capabilities:

  • Advanced Filtering: Build highly specific queries using structured filters with complex logical conditions.
  • Full-Text Search: Integrate classic keyword and phrase-based search.
  • Semantic Search: Go beyond keywords to find conceptually related content based on meaning and intent.
  • Hybrid Search: Combine all search methods in a single request to get perfectly ranked, relevant results.

With the Flux API, you get powerful results without needing to build and maintain a complex backend.

Where to Go Next?

Ready to get started? The best way to learn is by doing.

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