Dify 知识库外接 RAGFlow 喂饭教程！附避坑指南 原创

sudo sysctl -w vm.max_map_count=262144

{
	"query": "what is meme?",
	"knowledge_id": "xxxx",
	"use_kg": false,
	"retrieval_setting": {"score_threshold": 0.0, "top_k": 1024}
}

def apikey_required(func):
    @wraps(func)
    def decorated_function(*args, **kwargs):
        token = flask_request.headers.get("Authorization").split()[1]
        objs = APIToken.query(token=token)
        if not objs:
            return build_error_result(message="API-KEY is invalid!", code=settings.RetCode.FORBIDDEN)
        kwargs["tenant_id"] = objs[0].tenant_id
        return func(*args, **kwargs)

    return decorated_function

curl --request POST \
     --url http://192.168.35.16:8080/api/v1/dify/retrieval \
     --header 'Content-Type: application/json' \
     --header 'Authorization: Bearer ragflow-dmN2M4ZTUyNDgyYTExZjA5MWZmMDI0Mm' \
     --data '
     {
          "query": "If you donot have the invitation code you can go to",
          "knowledge_id": "b4bc18a6482211f0920a0242ac1c0006",
    "use_kg": false,
    "retrieval_setting": {"score_threshold": 0.45, "top_k": 5}
     }'

{"records":[{"content":"completetaskstoreceive theinvitation code.\nclick on the campaign button, which will take you to a screen where you must\nNote: If you don't have the invitation code you can go to http://quest.sending.me then,\nInvitation Code\nSendingMe\nSending You to the Free World\n Personal Signing\nCancel\nConfirm\nWhere can I get it?\nlog in instantly.","metadata":{},"score":0.487319856762247,"title":"Getting Started _ SendingMe User Manual.pdf"}]}

// api/services/external_knowledge_service.py
def fetch_external_knowledge_retrieval(
        tenant_id: str,
        dataset_id: str,
        query: str,
        external_retrieval_parameters: dict,
        metadata_condition: Optional[MetadataCondition] = None,
    ) -> list:
    ...
    request_params = {
                "retrieval_setting": {
                    "top_k": external_retrieval_parameters.get("top_k"),
                    "score_threshold": score_threshold,
                },
                "query": query,
                "knowledge_id": external_knowledge_binding.external_knowledge_id,
                "metadata_condition": metadata_condition.model_dump() if metadata_condition else None,
            }

            response = ExternalDatasetService.process_external_api(
                ExternalKnowledgeApiSetting(
                    url=f"{settings.get('endpoint')}/retrieval",
                    request_method="post",
                    headers=headers,
                    params=request_params,
                ),
                None,
            )
	...