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RAG Knowledge

RAG Knowledge Base — Intelligent Q&A and Knowledge Management

Multi-source knowledge management, smart document chunking, vector semantic search, and retrieval-augmented generation — let AI answer based on your knowledge.

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Powerful knowledge management

Multi-source ingestion + smart chunking + semantic search, building an enterprise-grade knowledge hub

Multi-source knowledge management

Supports WordPress, file upload, web crawling, API integration, and more data sources.

Smart Document Chunking

Auto-split PDF/Word/Markdown/TXT into semantic chunks with customizable chunking strategies.

Vector semantic search

Vector similarity + context expansion + re-ranking optimization for precise knowledge retrieval.

Retrieval-Augmented Generation

RAG Q&A — AI answers based on knowledge base content with citation tracing, refusing hallucination.

Knowledge Base Audit

Logs all retrieval and Q&A history, supporting retrieval quality evaluation and optimization.

Auto Ingestion

Unified content library documents auto-ingest — no manual operation, knowledge base updates in real time.

Build a knowledge base in 3 steps

From ingestion to Q&A, fully automated

1

Connect data sources

Choose WordPress, file upload, or web crawling data sources and configure ingestion.

2

Smart chunking & indexing

The system auto-chunks and generates vector indexes, with customizable chunking strategies and re-ranking.

3

RAG intelligent Q\u0026A

Ask questions based on the knowledge base — AI returns precise answers with citation tracing, refusing hallucination.

RAG knowledge base FAQ

Which document formats are supported?

Supports PDF, Word (doc/docx), Markdown, TXT, HTML, and other mainstream formats, plus WordPress posts and crawled web content — all auto-chunked and ingested.

Can chunking strategies be customized?

Yes. Beyond default semantic splitting, supports custom strategies by paragraph, fixed length, or delimiter. Adjustable chunk size and overlap window to balance retrieval precision and context.

How does RAG Q\u0026A avoid hallucination?

AI answers only from retrieved knowledge base fragments, with each answer including citation tracing (document name + paragraph). When no relevant knowledge is found, it clearly states 'no relevant content found in the knowledge base' — refusing to fabricate.

Is knowledge base updating real-time?

WordPress and API incremental updates are near real-time (within 5 minutes). File uploads require manual re-indexing. Unified content library documents support auto-ingestion — no manual operation needed.

How is retrieval quality evaluated?

The audit dashboard logs all retrieval and Q\u0026A history, with metrics like hit rate, citation coverage, and answer relevance. Retrieval results can be manually labeled to optimize the ranking model.

Build a knowledge base free

Multi-source knowledge management, smart document chunking, vector semantic search, and retrieval-augmented generation — let AI answer based on your knowledge.

Get the Desktop App