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Full-media Knowledge Base

Different media require different parsing paths, but the results need one retrievable, traceable, evaluable knowledge layer.

Full-media Knowledge Base

Unified retrieval for text, image, audio, and video

Scenario Case

Different media require different parsing paths, but the results need one retrievable, traceable, evaluable knowledge layer.

Component Selection

RAGFlowDocument parsing and unified indexing
Qwen-VL / CLIPImage understanding and labels
Whisper / FFmpegAudio transcription and video frame extraction
vLLM / OllamaPrivate or local inference services

Decision Boundaries

  • Batch small archives; use queues for constant media inflow.
  • Prefer local inference for sensitive material.
  • Keep source, timestamp, and original location.
01

Text parsing

Preserve headings, paragraphs, tables, and document structure.

02

Image understanding

Generate descriptions, tags, and classifications.

03

Audio/video processing

Transcribe audio and combine keyframes with subtitles.

04

Unified retrieval

Text queries can hit documents, images, videos, and transcripts.

Searchable media archives.
One permission and retrieval layer.
A shared knowledge entry for training, support, and research teams.