RAG Knowledge Base

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.

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&A

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

RAG knowledge base FAQ

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.