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Generate Inline Citations
For Your RAG Output

Transform your RAG responses with precise, automatic inline citations. Build trust and credibility with every answer.

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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

Toggle to see how Elenctic RAG adds verifiable citations

Compatible with

Python
LangChain
OpenAI
LlamaIndex

Works with any LLM framework and vector database

Why Elenctic AI?

Elevate your RAG applications with automatic citation generation

Lightning Fast

Generate citations in seconds. No delays, no bottlenecks in your pipeline.

Precise Attribution

Every claim linked to its source. Build credibility and trust with your users.

Easy Integration

Drop-in solution for any RAG stack. Add a layer to your existing RAG solution.

Where We Fit

Elenctic seamlessly integrates into your existing RAG pipeline, adding a critical verification layer between generation and delivery

User Query

Question asked

Vector Retrieval

Find relevant docs

LLM

Generate response

Elenctic API

Citations & Verification

Our Layer

Cited Response

Verified answer

Drop-in solution • No pipeline changes required • Works with any LLM

Drop-in Integration

Add citations to your RAG pipeline 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/citerag/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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