Semantic Vector Similarity
Understands user question intent and phrasing variations rather than relying on exact keyword matches.
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Semantic FAQ matching API retrieving instant high-confidence answers from custom Q&A databases.
https://test.rsflowhub.com/api/v1/ai/faq-match
Automated Question-Answering FAQ Matcher API is a ready-to-use REST API on RSFlowHub for developers building web, mobile and AI agent applications. Send a JSON request to POST /api/v1/ai/faq-match with your API key; RSFlowHub runs it on a tuned AI model (with automatic fallback to a backup provider) and returns a structured JSON result, usually within 1 to 3 seconds.
X-API-Key Header
curl -X POST "https://test.rsflowhub.com/api/v1/ai/faq-match" \
-H "Content-Type: application/json" \
-H "X-API-Key: rfh_your_api_key" \
-d '{"collection_id":1,"query":"how to update passcode?","min_confidence":0.4,"top_n":1}'
<?php
$client = new \GuzzleHttp\Client();
$response = $client->post('https://test.rsflowhub.com/api/v1/ai/faq-match', [
'headers' => [
'Content-Type' => 'application/json',
'X-API-Key' => 'rfh_your_api_key',
],
'json' => array (
'collection_id' => 1,
'query' => 'how to update passcode?',
'min_confidence' => 0.4,
'top_n' => 1,
),
]);
echo $response->getBody();
const response = await fetch('https://test.rsflowhub.com/api/v1/ai/faq-match', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': 'rfh_your_api_key'
},
body: JSON.stringify({"collection_id":1,"query":"how to update passcode?","min_confidence":0.4,"top_n":1})
});
const data = await response.json();
console.log(data);
import requests
url = "https://test.rsflowhub.com/api/v1/ai/faq-match"
headers = {
"Content-Type": "application/json",
"X-API-Key": "rfh_your_api_key"
}
payload = {"collection_id":1,"query":"how to update passcode?","min_confidence":0.4,"top_n":1}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
Understands user question intent and phrasing variations rather than relying on exact keyword matches.
Outputs numeric confidence scores (0.0 to 1.0) with configurable minimum thresholds for automated deflection.
Returns top N ranked candidate FAQ answers with matching probability percentages.
Provides alternative related question suggestions when match confidence falls below threshold.
See how developers integrate this API endpoint into production apps.
Answer repetitive customer pre-purchase questions instantly 24/7 without human agent intervention.
Power real-time in-app FAQ search bars with instant answer previews as users type their questions.
Display suggested FAQ answers dynamically while customers type their support ticket description.
Comparing RSFlowHub's specialized API gateway vs raw multi-turn LLM prompts vs legacy regex rules.
| Evaluation Metric | RSFlowHub API | Raw LLM Prompts | Legacy Regex / Rules |
|---|---|---|---|
| Response Structure | Validated JSON envelope | Unstructured markdown or chat format | Brittle custom regex tuples |
| Setup Effort | One POST request, no prompts | Write and maintain prompts + output parsing | Fast, but rule lists miss context and sarcasm |
| Pricing Model | Flat 2 credit/request | Volatile token-based billing | High server maintenance overhead |
| Multi-Turn Hallucination | Zero (Deterministic validators) | Output format can drift between model versions | No semantic AI intelligence |
| Developer Integration | 3 lines cURL, PHP, JS, Python | Complex prompt engineering & retry loop | Fragile manual rule maintenance |
question
string
Raw user question or inquiry text to match against FAQ database.
faq_items
array
Array of FAQ items containing question and answer pairs.
top_k
integer
Number of top ranked matches to return (Default: 3).
min_confidence
float
Minimum confidence threshold score between 0.0 and 1.0 (Default: 0.70).
Every endpoint returns the same envelope: success, request_id, data.result and meta.
{
"success": true,
"request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
"data": {
"result": {
"message": "See the API reference for the full result schema."
}
},
"meta": {
"version": "v1",
"timestamp": "2026-10-05T09:30:00Z"
}
}
Everything you need to know about integrating and using Automated Question-Answering FAQ Matcher API.
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