- Add new models for `KnowledgeDocument` and `KnowledgeChunk` to manage document ingestion and chunking. - Implement S3-compatible storage integration for knowledge documents, allowing for file uploads and retrieval. - Introduce API endpoints for managing knowledge bases and documents, including creation, deletion, and searching. - Update frontend components to support knowledge base configuration and document management, improving user interaction. - Enhance backend services for knowledge processing and retrieval, ensuring robust handling of document statuses and errors.
8 lines
322 B
Plaintext
8 lines
322 B
Plaintext
# docker compose 变量(复制为项目根 .env)。公网 WebRTC 需配合 --profile remote。
|
|
PUBLIC_IP=182.92.86.220
|
|
TURN_SECRET=change-me-to-a-long-random-string
|
|
TURN_URLS=turn:182.92.86.220:3478?transport=udp,turn:182.92.86.220:3478?transport=tcp
|
|
S3_ACCESS_KEY=rustfsadmin
|
|
S3_SECRET_KEY=rustfsadmin
|
|
S3_BUCKET=ai-video
|