v2.4 API Stable Release

Integrate the World's Most Verified Knowledge into Your AI

Bridge your LLMs, RAG pipelines, and enterprise knowledge bases with Aevum's real-time fact verification, semantic search, and multi-lingual embeddings. Built for developers who refuse to compromise on accuracy.

View API Documentation → ▶ Watch Integration Guide

Core Capabilities

AI-Ready Knowledge Infrastructure

Purpose-built endpoints and embeddings designed to eliminate hallucinations and accelerate RAG performance.

🔗

Real-Time RAG Injection

Stream verified, citation-rich context directly into your LLM prompts. Supports dynamic chunking and semantic filtering.

Latency < 80ms

🧠

Cross-Reference AI

Our engine validates claims against 2.4M+ peer-reviewed entries in real-time, flagging inconsistencies before generation.

99.9% Accuracy

🌐

Multilingual Embeddings

Access vector representations across 140+ languages. Seamlessly translate, query, and align knowledge without context loss.

140+ Languages

📊

Knowledge Graph API

Query entities, relationships, and historical timelines via GraphQL. Perfect for building dynamic, interconnected AI agents.

GraphDB Powered

How It Works

Integration Pipeline

📥

Query Ingest

REST/GraphQL or SDK input

🔍

Semantic Routing

Intent & domain classification

🛡️

Verification Layer

Multi-source cross-check

⚡

Structured Output

JSON, Markdown, or Vector

Developer Hub

Simple, Powerful, Production-Ready

Integrate verified knowledge in under 5 minutes. Our API handles authentication, rate limiting, caching, and versioning automatically.

OAuth 2.0 & API Key authentication
WebSocket streaming for long-context queries
Automatic citation & source attribution
Sandbox environment with 10K free monthly calls
Python, Node.js, Go, & Ruby SDKs

Read Full Documentation →

import aevum

client = aevum.Client(api_key=process.env.AEVUM_KEY)

response = client.knowledge.query(
    "Explain quantum entanglement with verified sources",
    mode="rag",
    citations=True,
    limit=5
)

print(response.context)
print(response.citations)
                        

curl -X POST https://api.aevum.ai/v2/query \
  -H "Authorization: Bearer $AEVUM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "Explain quantum entanglement",
    "mode": "rag",
    "citations": true
  }'
                        

const aevum = require('@aevum/sdk');

const client = new aevum({ apiKey: process.env.AEVUM_KEY });

const result = await client.query({
  text: "Explain quantum entanglement",
  mode: "rag",
  citations: true
});

console.log(result.context);
                        

Responsible AI

Built on Verification, Not Guesswork

We engineer trust into every layer of the integration stack.

🔍

Hallucination Mitigation

Every AI-generated output is cross-referenced against our verified corpus before delivery.

📜

Source Transparency

Automatic citation tagging with direct links to peer-reviewed articles and primary sources.

⚖️

Bias Auditing

Quarterly third-party audits ensure balanced representation across cultural and historical contexts.

🔐

Compliance Ready

GDPR, CCPA, and SOC 2 Type II compliant. Enterprise-grade data handling and encryption.

Get Started

Ready to Build with Verified AI?

Join thousands of developers and researchers. Free sandbox access with 10,000 API calls/month.

No credit card required. Enterprise tiers available upon request.