Schema‑first knowledge base API for AI applications
Define your content structure — FoxNose auto-generates a REST API with hybrid search, filtering, pagination, and authentication. An instant backend for AI: ready-made API for RAG pipelines, LLM apps, and SaaS products.
Auto-generated REST API from your schema
Define your content types and fields — FoxNose auto-generates a versioned REST API with search, filtering, and access control. No boilerplate. No code generation step.
Schema in → API out. Versioned, searchable, production-ready.
Hierarchical URLs. Automatic.
Enable strict reference to create parent-child ownership. URL structure follows your data hierarchy automatically — part of the AI knowledge governance layer.
Folder Structure
Data Integrity
Child can't exist without parent. Ownership enforced.
Hierarchical URLs
API paths reflect real data relationships.
Cascade Operations
Delete parent — children follow. Permissions inherit.
Content API with built‑in search
Search with filters, list with pagination, or fetch single items. Every endpoint is a REST API for LLM apps and traditional clients alike — each optimized for its use case.
Query with vector search, full-text, filters, and joins
POST /articles/_search
?search_locale=en
&return_locales=en,de
{
"vector_search": {
"query": "How to handle refunds?"
},
"find_text": {
"query": "refund policy"
},
"where": {
"$": {
"all_of": [{ "status__eq": "published" }]
}
}
}{
"limit": 10,
"next": "...?next=eyJjcmVh...NDJ9",
"results": [
{
"_sys": { "key": "Ed3gw2uNcA4h", ... },
"data": {
"title": {
"en": "Refund Policy",
"de": "Rückerstattung"
}
}
}
],
"metadata": {
"search_mode": "hybrid",
"tokens_used": 6
}
}Multiple APIs. Tailored Access.
Create separate APIs for different clients — each with its own API key and field visibility. A headless API for your storefront, a private API for RAG retrieval, a partner API for integrations. Same content, tailored access.
Products is used by all 3 APIs, FAQ by 2 — same content, no duplication.
Public e-commerce website. Product catalog, help articles, and FAQ.
Serverless knowledge API — everything built in
Every knowledge base API comes with production-ready features. No extra configuration, no add-ons.
- Hybrid Search.
- Vector + full-text + filters in one query. Auto-embeddings for semantic search. Powered by the hybrid search API.
- Pagination.
- Cursor-based pagination for large datasets. Fully qualified next/previous URLs.
- Field Selection.
- Request only fields you need. Reduce payload size and latency.
- Cross-Collection Joins.
- Fetch related content in one request. Up to 3 joined collections.
- Localization.
- Search and return content in specific locales. Automatic fallback chain.
- Environments.
- Isolated dev, staging, production. Same schema, separate data and APIs. Content management API with proper lifecycle.
Backend as a service — serverless and scalable
No servers to provision, no containers to manage. Your knowledge base API scales automatically with traffic — a true backend as a service for AI-powered products.
- Auto
- Scales with your traffic
- 99.9%
- Uptime SLA
- EU
- Data residency (GDPR)
Knowledge base API in minutes.
Schema‑first. Auto‑generated. Serverless.
Explore more
Hybrid Search API
Semantic search, full-text, and pre-filter vector search in one query.
Learn more →AI Knowledge Governance
AI audit trail, knowledge base versioning, and RBAC for your data layer.
Learn more →Build RAG Apps
End-to-end guide to building production RAG applications.
Learn more →LLM Database
AI-native database for RAG and LLM apps. Schema to API in minutes, auto-embeddings built-in.
Learn more →