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Infrastructure for AI verification. Automatically trace every AI assertion back to its source—so your users can trust what they read.

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Standard RAGElenctic RAG

What is Retrieval-Augmented Generation?

Elenctic AI

Retrieval-Augmented Generation (RAG) is an AI technique that combines information retrieval with text generation. It works by first retrieving relevant documents from a knowledge base, then using those documents to generate more accurate and contextual responses. This approach helps reduce hallucinations in AI models.

No source verification

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See Verification in Action

Watch how Elenctic verifies AI-generated content in real time

Compatible with

Python
LangChain
OpenAI
LlamaIndex

Works with any LLM framework and vector database

Why Verification Matters

Ship AI applications your users can trust

Real-Time Verification

Verify AI outputs instantly. No delays in your production pipeline.

Source-Level Provenance

Every claim traced to its origin. Build trust with auditable evidence.

Works With Any AI

Integrate with any generative AI system—RAG, agents, or custom pipelines.

How Verification Works

Elenctic adds a verification layer to any AI system, ensuring every output is traceable to its sources

User Query

Question asked

Context Retrieval

Gather sources

LLM

Generate response

Elenctic Verification

Trace & verify claims

Our Layer

Verified Response

Trustworthy answer

Drop-in verification • Works with any AI • No pipeline changes required

Simple Integration

Add verification to your AI in minutes, not days

Compatible with LangChain
50ms Latency
REST & Python SDK
1

Integration Code

$ pip install requests
integration.py
1import requests
2
3# 1. Prepare your LLM output and retrieved sources
4payload = {
5 "response": "Apple CEO Tim Cook announced that the company will begin manufacturing one of its existing Mac computer lines in the United States next year, investing $100 million in the move.",
6 "sources": [
7 {
8 "id": "1fgthjgw",
9 "text": "Apple CEO Tim Cook: Apple will start making a computer in the United States. The move next year will cost $100 million, Apple spokesman says."
10 },
11 {
12 "id": "2sdfgbf",
13 "text": "Rumoured to allow app downloads for the first time. Could see the firm taking on the Xbox One and PlayStation 4."
14 }
15 ]
16}
17
18# 2. Send to Elenctic for citation
19data = requests.post(
20 "https://api.elenctic.ai/elenctic/v0.1/",
21 headers={"Authorization": "Bearer YOUR_API_KEY"},
22 json=payload
23).json()
2

Structured Output

Response Preview
200 OK
{
  "cited_response": "Apple CEO Tim Cook announced that the company will begin manufacturing one of its existing Mac computer lines in the United States next year, investing $100 million in the move [1].",
  "citations": [
    {
      "citation_id": 1,
      "source_id": "1fgthjgw",
      "score": 0.98,
      "snippet": "Apple CEO Tim Cook: Apple will start making a computer in the United States..."
    }
  ]
}
Average response time: 47ms

Works with your existing stack → OpenAI • Anthropic • LangChain • LlamaIndex

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