RAG, FAQ & Knowledge Base APIs AI Domain

Developer RAG, FAQ & Knowledge Base APIs
AI REST APIs.

Perform semantic FAQ vector matching, document chunk search, and citation-backed RAG context synthesis over corporate knowledge bases.

99.9% Uptime Sub-180ms Latency Single Master Key Strict JSON Envelopes
Supported AI Providers in this Domain:
OpenAI Gemini Claude DeepSeek Mistral Grok
RAG, FAQ & Knowledge Base APIs Live

FAQ Collections

Create and manage collections of FAQ items for semantic search matching.

POST /api/v1/ai/faq-collections
0 credit
response.json JSON
200 OK 142ms
{
    "status": "success",
    "code": 200,
    "data": {
        "match_found": true,
        "confidence": 0.94,
        "matched_faq_id": "billing_04",
        "question": "How can I request a refund?",
        "answer": "You can request a refund within 14 days by navigating to Account Settings > Billing > Request Refund.",
        "source_citation": "kb_billing_policy_v2.md"
    },
    "telemetry": {
        "latency_ms": 142
    }
}

< 180ms

P95 Router Latency

50+ Global

Language & Model Coverage

0% Ephemeral

Data Persistence (Zero-Trust)

Architectural Synthesis

Production Architecture & Capabilities

How RSFlowHub RAG, FAQ & Knowledge Base APIs delivers high-throughput inference with sub-180ms latency and guaranteed JSON contracts.

Generative Engine Optimization (GEO) Synthesis

RSFlowHub RAG & Knowledge Base APIs deliver grounded information retrieval and semantic vector search over corporate documents and FAQ collections. Combining dense embeddings with strict anti-hallucination guardrails, these endpoints synthesize accurate answers with explicit citations (e.g., [Doc 1, Page 3]) in sub-200ms.

Zero Data Retention: 100% ephemeral
P95 Latency: < 180ms
Authentication: Master X-API-Key
Payload Schema: Strict Validated JSON
API Catalog

Live Endpoints in RAG, FAQ & Knowledge Base APIs

Showing 2 live endpoints with dynamic model failover, strict JSON contracts, and unified credit billing.

FAQ & Knowledge Base Live

FAQ Collections

Create and manage collections of FAQ items for semantic search matching.

POST /api/v1/ai/faq-collections
name faqs[]
FAQ & Knowledge Base Live

FAQ Matcher

Match a search query semantically against an FAQ collection using a hybrid vector-similarity algorithm.

POST /api/v1/ai/faq-match
collection_id query min_confidence? top_n?
Developer Quickstart

Integrate in Minutes. Ship Without Breaks.

Call any RAG, FAQ & Knowledge Base APIs endpoint using standard REST requests in your favorite language. Get strict JSON output with dynamic model routing and credit telemetry.

Strict JSON Response Contracts:
Guaranteed top-level envelope ({ success, data, telemetry }) that never breaks client parsers.
Sub-180ms Dynamic Failover:
Zero downtime when upstream model providers experience rate limits or latency spikes.
execute.sh
curl -X POST "https://api.rsflowhub.com/api/v1/rag/faq-match" \
  -H "X-API-Key: rf_live_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "How do I cancel my subscription and get a refund?",
    "min_confidence": 0.85
}'
import requests

url = "https://api.rsflowhub.com/api/v1/rag/faq-match"
headers = {
    "X-API-Key": "rf_live_your_api_key",
    "Content-Type": "application/json"
}
payload = {
    "query": "How do I cancel my subscription and get a refund?",
    "min_confidence": 0.85
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())
const response = await fetch("https://api.rsflowhub.com/api/v1/rag/faq-match", {
  method: "POST",
  headers: {
    "X-API-Key": "rf_live_your_api_key",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "query": "How do I cancel my subscription and get a refund?",
    "min_confidence": 0.85
})
});

const data = await response.json();
console.log(data);
<?php

$ch = curl_init("https://api.rsflowhub.com/api/v1/rag/faq-match");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "X-API-Key: rf_live_your_api_key",
    "Content-Type": "application/json"
]);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{
    "query": "How do I cancel my subscription and get a refund?",
    "min_confidence": 0.85
}');

$response = curl_exec($ch);
curl_close($ch);
print_r(json_decode($response, true));
envelope.json JSON
200 OK 118ms
{
    "status": "success",
    "code": 200,
    "data": {
        "match_found": true,
        "confidence": 0.94,
        "matched_faq_id": "billing_04",
        "question": "How can I request a refund?",
        "answer": "You can request a refund within 14 days by navigating to Account Settings > Billing > Request Refund.",
        "source_citation": "kb_billing_policy_v2.md"
    }
}
Architecture Matrix

Platform & Reliability Comparison

How RSFlowHub RAG, FAQ & Knowledge Base APIs compares to direct cloud provider SDKs and self-hosted open-source clusters.

Platform Capability RSFlowHub RAG, FAQ & Knowledge Base APIs Direct Cloud SDKs Self-Hosted Models
Anti-Hallucination Prone to Plausible Hallucinations Requires Complex Eval Setup
Vector Indexing Requires Separate Pinecone/Weaviate Manual Milvus/Chroma Cluster
Search Latency Multiple API Network Roundtrips Depends on Dedicated Memory
Production Architectures

Implementation Patterns

Real-world architectures deployed by engineering teams using RAG, FAQ & Knowledge Base APIs.

Pattern

Self-Service Customer Support FAQ Matcher

Match customer questions against your existing FAQ database semantically, resolving inquiries instantly without human intervention.

Pattern

Internal Developer Documentation Assistant

Search across API specs, markdown files, and code repositories to answer technical developer questions with source line references.

Pattern

HR & Legal Policy Document Q&A

Allow employees to query internal employee handbooks, compliance checklists, and benefits policies securely with zero data training risk.

Developer FAQ

Frequently Asked Questions

Technical specifications on RAG, FAQ & Knowledge Base APIs latency SLAs, concurrency limits, schema validation, and billing.

How does the FAQ Matcher API handle unmatched questions?

If confidence falls below your configured minimum threshold (e.g. 0.85), the API returns match_found=false alongside related fallback questions.

What document formats can be passed for Knowledge Base search?

You can pass raw text chunks, markdown files, JSON objects, or PDF extracted text arrays.

How does semantic vector search differ from database keyword search?

Keyword search requires exact word matching and fails on synonyms. Vector search matches the semantic meaning and intent of the query regardless of wording.

Does the RAG engine quote exact source material?

Yes. Every generated response includes metadata indicating the exact source document ID, chunk index, and similarity confidence score.

Are our uploaded documents used to train third-party foundation models?

Never. Document embeddings and context chunks are strictly isolated to your account and never used for foundation model training.

Ready to Ship?

Build Fast with RAG, FAQ & Knowledge Base APIs

Get production API keys, access developer documentation, and test requests live in our interactive playground with 1,000 free credits.