ragflow/agent/templates/DB Assistant.json

{
  "id": 6,
  "title": "DB Assistant",
  "description": "An advanced agent that converts user queries into SQL statements, executes the queries, and assesses and returns the results. You must prepare three knowledge bases: 1: DDL for your database; 2: Examples of user queries converted to SQL statements; 3: A comprehensive description of your database, including but not limited to tables and records. You are also required to configure the corresponding database.",
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            "inputs": [],
            "output": {},
            "params": {}
          },
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            "begin"
          ]
        },
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          "downstream": [
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          ],
          "obj": {
            "component_name": "ExeSQL",
            "inputs": [],
            "output": {},
            "params": {
              "database": "",
              "db_type": "mysql",
              "frequencyPenaltyEnabled": true,
              "frequency_penalty": 0.7,
              "host": "",
              "llm_id": "deepseek-chat@DeepSeek",
              "loop": 3,
              "maxTokensEnabled": true,
              "max_tokens": 512,
              "password": "",
              "port": 6630,
              "presencePenaltyEnabled": true,
              "presence_penalty": 0.4,
              "query": [],
              "temperature": 0.1,
              "temperatureEnabled": true,
              "topPEnabled": true,
              "top_n": 30,
              "top_p": 0.3,
              "username": "root"
            }
          },
          "upstream": [
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          ]
        },
        "Generate:BlueShirtsLaugh": {
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          ],
          "obj": {
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            "params": {
              "cite": false,
              "frequency_penalty": 0.7,
              "llm_id": "deepseek-chat@DeepSeek",
              "message_history_window_size": 1,
              "parameters": [],
              "presence_penalty": 0.4,
              "prompt": "\n##The user provides a question and you provide SQL. You will only respond with SQL code and not with any explanations.\n\n##You may use the following DDL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:SillyPartsCheer}.\n\n##You may use the following documentation as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:OddSingersRefuse}.\n\n##You may use the following SQL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:BrownStreetsRhyme}.\n\n##Respond with only SQL code. Do not answer with any explanations -- just the code.",
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              "top_p": 0.3
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          },
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        },
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          "downstream": [
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          ],
          "obj": {
            "component_name": "Retrieval",
            "inputs": [],
            "output": {},
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              "kb_ids": [],
              "keywords_similarity_weight": 0.3,
              "query": [
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                  "component_id": "Answer:SocialAdsWonder",
                  "type": "reference"
                }
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              "similarity_threshold": 0.2,
              "top_n": 8
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          },
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          ]
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          ],
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            "inputs": [],
            "output": {},
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              "empty_response": "Nothing found in DB-Description!",
              "kb_ids": [],
              "keywords_similarity_weight": 0.3,
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                {
                  "component_id": "Answer:SocialAdsWonder",
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            "inputs": [],
            "output": {},
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              "kb_ids": [],
              "keywords_similarity_weight": 0.1,
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              "similarity_threshold": 0.02,
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              "temperature": 0.1,
              "temperatureEnabled": true,
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              "top_p": 0.3
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        },
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          "obj": {
            "component_name": "Begin",
            "inputs": [],
            "output": {
              "content": {
                "0": {
                  "content": "Hi! I'm your smart assistant. What can I do for you?"
                }
              }
            },
            "params": {}
          },
          "upstream": []
        }
      },
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              "form": {
                "text": "Based on the result of the SQL execution, returns the error message to the large model if any errors occur; otherwise, returns the result to the user."
              },
              "label": "Note",
              "name": "N: Analyze SQL"
            },
            "dragHandle": ".note-drag-handle",
            "dragging": false,
            "height": 165,
            "id": "Note:HeavyIconsFollow",
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          {
            "data": {
              "form": {
                "text": "Receives the user's database-related questions and displays the large model's response."
              },
              "label": "Note",
              "name": "N: Interface"
            },
            "dragHandle": ".note-drag-handle",
            "dragging": false,
            "height": 159,
            "id": "Note:PinkTaxesClean",
            "measured": {
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            },
            "targetPosition": "left",
            "type": "noteNode",
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          },
          {
            "data": {
              "form": {
                "text": "Searches for description about meanings of  tables and fields."
              },
              "label": "Note",
              "name": "N:DB Description"
            },
            "dragHandle": ".note-drag-handle",
            "dragging": false,
            "height": 128,
            "id": "Note:IcyTreesPeel",
            "measured": {
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              "width": 251
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            "targetPosition": "left",
            "type": "noteNode",
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          },
          {
            "data": {
              "form": {
                "text": "Searches for samples about question to SQL.\nPlease check this dataset: https://huggingface.co/datasets/InfiniFlow/text2sql"
              },
              "label": "Note",
              "name": "N: Q->SQL"
            },
            "dragHandle": ".note-drag-handle",
            "dragging": false,
            "height": 143,
            "id": "Note:HugeGroupsScream",
            "measured": {
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            "targetPosition": "left",
            "type": "noteNode",
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          {
            "data": {
              "form": {
                "text": "DDL(Data Definition Language).\n\nSearches for relevant database creation statements.\n\nIt should bind with a KB to which DDL is dumped in.\nYou could use  'General' as parsing method and ';' as delimiter."
              },
              "label": "Note",
              "name": "N: DDL"
            },
            "dragHandle": ".note-drag-handle",
            "dragging": false,
            "height": 208,
            "id": "Note:GreenCrewsArrive",
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            "targetPosition": "left",
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          {
            "data": {
              "form": {
                "text": "The large model learns which tables may be available based on the responses from three knowledge bases and converts the user's input into SQL statements."
              },
              "label": "Note",
              "name": "N: Generate SQL"
            },
            "dragHandle": ".note-drag-handle",
            "dragging": false,
            "height": 196,
            "id": "Note:EightTurtlesLike",
            "measured": {
              "height": 196,
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            "targetPosition": "left",
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          {
            "data": {
              "form": {
                "text": "Executes the SQL statement in the database and returns the result.\n\nAfter configuring  an accessible database, press 'Test' to  ensure the accessibility.\n\nThe large model modifies the original SQL statement based on the error message and returns the modified SQL statement."
              },
              "label": "Note",
              "name": "N: Execute SQL"
            },
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            "height": 276,
            "id": "Note:FreshKidsTalk",
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                "database": "",
                "db_type": "mysql",
                "frequencyPenaltyEnabled": true,
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                "host": "",
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                "temperatureEnabled": true,
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                "top_p": 0.3,
                "username": "root"
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              "name": "ExeSQL"
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            "id": "ExeSQL:QuietRosesRun",
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                "frequency_penalty": 0.7,
                "llm_id": "deepseek-chat@DeepSeek",
                "maxTokensEnabled": false,
                "max_tokens": 256,
                "message_history_window_size": 1,
                "parameter": "Precise",
                "parameters": [],
                "presencePenaltyEnabled": true,
                "presence_penalty": 0.4,
                "prompt": "\n##The user provides a question and you provide SQL. You will only respond with SQL code and not with any explanations.\n\n##You may use the following DDL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:SillyPartsCheer}.\n\n##You may use the following documentation as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:OddSingersRefuse}.\n\n##You may use the following SQL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {Retrieval:BrownStreetsRhyme}.\n\n##Respond with only SQL code. Do not answer with any explanations -- just the code.",
                "temperature": 0.1,
                "temperatureEnabled": true,
                "topPEnabled": true,
                "top_p": 0.3
              },
              "label": "Generate",
              "name": "Generate SQL Statement LLM"
            },
            "dragging": false,
            "id": "Generate:BlueShirtsLaugh",
            "measured": {
              "height": 106,
              "width": 200
            },
            "position": {
              "x": 147.62383788095065,
              "y": -116.47462293167156
            },
            "selected": false,
            "sourcePosition": "right",
            "targetPosition": "left",
            "type": "generateNode"
          }
        ]
      },
      "history": [],
      "messages": [],
      "path": [],
      "reference": []
    },
  "avatar": 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"
}