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Knowledge Base RAG vs FAQ Matching

RAG & Knowledge Bases

Knowledge Base RAG vs FAQ Matching

When to answer questions with retrieval-augmented generation over documents, and when a curated FAQ with semantic matching is the better choice.

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Side by side

Knowledge Base RAG vs FAQ Matching

Option A

Knowledge Base RAG

Documents are split into chunks and embedded into a vector database. Questions retrieve the most relevant chunks, and a model writes an answer with citations.

Strengths

Answers from long documents
Source citations
No manual Q&A writing
Handles new phrasing

Option B

FAQ Matching

Each question is matched semantically to a curated question and answer pair, returning the approved answer word for word.

Strengths

Exact approved wording
Very predictable
Easy compliance review

How each works on RSFlowHub

FAQ Match: create a collection of question and answer pairs, then call /api/v1/ai/faq-match with a user question to get the best matches and scores.

Knowledge Bases: upload documents or items, then call /search for relevant chunks or /ask for a written answer with citations.

A combined pattern

Many support bots try FAQ matching first and only fall back to RAG when the best match score is low. Approved answers stay exact, and the long tail is still covered by your documentation.

Frequently asked questions

Which vector database does RSFlowHub use?

Knowledge bases are stored in PostgreSQL with pgvector, managed by RSFlowHub.

Can I keep FAQ answers word for word?

Yes. FAQ Match returns your stored answer text unchanged.

Ready-made APIs

RAG & Knowledge Bases APIs on RSFlowHub

0 credits FAQ Collections Create and manage collections of FAQ items for semantic search matching. POST View API 2 credits FAQ Matcher Match a search query semantically against an FAQ collection using a hybrid vector-similari... POST View API 1 credit Knowledge Bases & Search Manage first-class AI knowledge bases, index FAQs, plain text, and PDF documents, and perf... POST View API 4 credits AI Support Chatbots Build customer-facing AI support chatbots with connected knowledge bases, client-managed a... POST View API

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Knowledge Base RAG vs FAQ Matching

Knowledge Base RAG vs FAQ Matching

Knowledge Base RAG

Strengths

FAQ Matching

Strengths

How each works on RSFlowHub

A combined pattern

Frequently asked questions

RAG & Knowledge Bases APIs on RSFlowHub

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