Answer Bot API

Answer Bot API makes it possible for the system to read, infer meaning, and deliver precise answers from large sets of documents with high accuracy.

Search from Q&A

POST https://backend.alli.ai/webapi/faq

This API lets you find the most relevant question and answer pairs from your Q&A knowledge base.

Headers

Request Body

{"result": 
  [
    {
      "confidence": CONFIDENCE_VALUE, 
      "effectiveConfidence": EFFECTIVE_CONFIDENCE_VALUE, 
      "question": "QUESTION_1", 
      "answer": "ANSWER_1",
      "id": "ID_1",
      "hashtags": [],
      "lastUpdatedDate": "DATE",
      "agentFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
              },
      "userFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
              }
    }, ... 
  ],
  "count": 3,
  "hashId": "HASH_ID"
}

Search from Documents

POST https://backend.alli.ai/webapi/mrc

Documents API finds an answer from your unstructured text documents and even from complex tables.

Headers

Request Body

{
    "result": [
        {
            "answer": "ANSWER_1",
            "answerHash": "ANSWER_HASH_1",
            "confidence": CONFIDENCE_1,
            "effectiveConfidence": EFFECTIVE_CONFIDENCE_1,
            "documentId": "DOCUMENT_ID_1",
            "documentName": "DOCUMENT_NAME_1",
            "hashtags": [],
            "pageNo": PAGE_NUMBER,
            "createdDate": "DATE",
            "agentFeedback": {
                "positiveCount": 0,
                "negativeCount": 0
            },
            "userFeedback": {
                "positiveCount": 0,
                "negativeCount": 0
            },
            "body": "PREVIEW_HTML_BODY",
            "css": "PREVIEW_CSS"
        }
    ]
}

Get Single Q&A

GET https://backend.alli.ai/webapi/single_faq

This is the method to get all the details of a single Q&A.

Headers

Request Body

{
    "result": {
        "question": "Who is there?",
        "answer": "Elmo",
        "id": "RkFROjYwMmY2ZTQ0YWZmMWQ5YmQ0NmM5Y2VkNw==",
        "userFeedback": {
            "positiveCount": 0,
            "negativeCount": 0
        },
        "agentFeedback": {
            "positiveCount": 0,
            "negativeCount": 1
        },
        "lastUpdatedDate": "2021-02-19",
        "createdDate": "2021-02-19",
        "hashtags": []
    }
}

Get Single Document

GET https://backend.alli.ai/webapi/single_document

This is the method to get all details of a single document.

Headers

Request Body

      "id": "S25vd2xlZGdlQmFzZTo1ZjMzODFkZmNhYWJjYWUyMjkzYjFhY2U=",
      "documentName": "Policy document 1.docx",
      "createdDate": "2020-11-12",
      "agentFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
            },
            "userFeedback": {
            "positiveCount": 0,
            "negativeCount": 0
        },
      "hashtags" : ["hashtag1", "hashtag2"]
    }
}

Q&A Feedbacks

GET https://backend.alli.ai/webapi/faq_feedbacks

This API lets you get the list of feedbacks given to Q&A pairs for each search query.

Headers

Request Body

{
  "result": [
    {
      "query": "QUERY_1",
      "feedbacks": [
        {
          "faqId": "FAQ_ID_1_1", 
          "positive": true or false
        }, ...
      ]
    }, ...
  ],
  "count": COUNT_1
}

Q&A Feedback

POST https://backend.alli.ai/webapi/faq_feedback

This API lets you give or cancel feedback given to a Q&A pair for a search query.

Headers

Request Body

{
    "result": {
        "faqTrainSearchResult": {
            "faq": {
                "id": "ID"
            },
            "agentFeedback": {
                "positiveCount": NUMBER,
                "negativeCount": NUMBER
            }
        }
    },
    "errors": null
}

Q&A User Feedback

POST https://backend.alli.ai/webapi/faq/user_feedback

The feedback registered with the above API will be submitted as user feedback. This API registers user feedback (user feedback is what the users who use the Alli chatbot and approve or disprove of answers submit).

Headers

Request Body

{
    "result": {
        "userFeedback": {
            "positiveCount": 1,
            "negativeCount": 0
        }
    }
}

Upload Q&As

POST https://backend.alli.ai/webapi/upload_faq_file

You can upload multiple Q&As in the tsv, csv, xlsx, and zip format using this API.

Headers

Request Body

{
    "result": "success",
    "notUploaded": [
        {
            "question": "QUESTION_1",
            "state": "dup"
        },
        {
            "question": "QUESTION_2",
            "state": "up"
        }
    ]
}

Add Q&A

POST https://backend.alli.ai/webapi/register_faq

You can add a new Q&A or update an existing Q&A using this API.

Headers

Request Body

{
    "result": {
        "status": "created",
        "id": "Q&A_ID"
    },
    "errors": null
}

Delete Q&A

POST https://backend.alli.ai/webapi/delete_faq

You can delete a Q&A using this API.

Headers

Request Body

{
    "result": {
        "status": "deleted"
    },
    "errors": null
}

List Q&As

GET https://backend.alli.ai/webapi/faqs

You can list Q&As in the Knowledge Base using this API.

Headers

Request Body

{
    "offset": 0,
    "count": 10,
    "totalCount": 12,
    "results": [
        {
            "id": "Q&A_ID_1",
            "question": "QUESTION_1",
            "answer": "ANSWER_1",
            "hashtags": [
                "HASHTAG_1",
                "HASHTAG_2"
            ],
            "userFeedback": {
                "positiveCount": 0,
                "negativeCount": 0
            },
            "agentFeedback": {
                "positiveCount": 0,
                "negativeCount": 0
            },
            "lastUpdatedDate": "2021-05-04",
            "createdDate": "2021-02-23"
        },
        {
            "id": "Q&A_ID_2",
            "question": "QUESTION_2",
            "answer": "ANSWER_2",
            "hashtags": [
                "HASHTAG_1",
                "HASHTAG_3"
            ],
            "userFeedback": {
                "positiveCount": 0,
                "negativeCount": 0
            },
            "agentFeedback": {
                "positiveCount": 0,
                "negativeCount": 0
            },
            "lastUpdatedDate": "2021-05-04",
            "createdDate": "2021-02-23"
        }, ...
    ]
}

Q&A Candidates

GET https://backend.alli.ai/webapi/faq_candidates

Using this API, you can get the list of unanswered questions from customers. They're called Candidates.

Headers

Request Body

{
	"result": {
		"faqCandidates": [
		  {
				"id": "ID_ANSWER_1",
				"frequency": 1,
				"textAnswer": "ANSWER_1",
				"state": "ACTIVE",
				"createdAt": NUMBER,
				"questions": [{
					"id": "ID_QUESTION_1",
					"question": "QUESTION_1",
					"frequency": 1,
					"history": {
						"id": "ID_HISTORY_1"
					}
				}]
			},
		],
		"count": 1
	},
	"errors": null
}

Q&A Candidates

POST https://backend.alli.ai/webapi/add_faq_candidates

Registers a new Q&A Candidate with the system.

Headers

Request Body

{
    "result": {
        "candidates": [
            {
                "id": "CANDIDATE_ID_1"
            },
            {
                "id": "CANDIDATE_ID_2"
            }
        ]
    },
    "errors": null
}

Documents Feedbacks

GET https://backend.alli.ai/webapi/mrc_feedbacks

This API lets you get the list of feedbacks given to Document search results (AI-extracted answers from uploaded documents) for each search query.

Headers

Request Body

{
  "result": [
    {
      "query": "QUERY_1",
      "feedbacks": [
        {
          "documentId": "DOCUMENT_ID_1",
          "answer": "ANSWER_1",
          "answerHash": "ANSWER_HASH_1",
          "positive": true or false
        }, ...
      ]
    }
  ],
  "count": NUMBER
}

Documents Search Feedback

POST https://backend.alli.ai/webapi/mrc_feedback

This API lets you give or cancel feedback given to a Document search result for a search query.

Headers

Request Body

{
    "result": {
        "mrcFeedbackSearchResult": {
            "agentFeedback": {
                "positiveCount": NUMBER,
                "negativeCount": NUMBER
            }
        }
    },
    "errors": null
}

Documents Search User Feedback

POST https://backend.alli.ai/webapi/mrc/user_feedback

Provide user feedback to the Documents search result.

Headers

Request Body

{
    "result": {
        "userFeedback": {
            "positiveCount": 1,
            "negativeCount": 0
        }
    }
}

Upload Documents

POST https://backend.alli.ai/webapi/upload_file

This API method allows you to upload documents for Cognitive Search. Available file formats for the upload: PDF, TXT, MS Word, PowerPoint, Excel, HTM and HTML. To upload a HTML file with linked resources, please compress in a ZIP file along with any relative linked resources before uploading.

Headers

Request Body

{
    "result": {
        "id": "DOCUMENT_ID",
        "fileName": "YOUR_FILE_NAME",
        "hashtags": [
            "HASHTAG_1",
            "HASHTAG_2"
        ],
        "footer": "FOOTER_IN_HTML"
    }
}

Upload Documents from S3

POST https://backend.alli.ai/webapi/upload_from_s3

This API lets you transfer documents stored in S3 into Cognitive Search. They will appear as Knowledge Base documents in the dashboard. Available file formats are same in the section of Upload Documents.

Headers

Request Body

{
    "result": {
        "id": "DOCUMENT_ID",
        "fileName": "YOUR_FILE_NAME",
        "hashtags": [
            "HASHTAG_1",
            "HASHTAG_2"
        ],
        "footer": "FOOTER_IN_HTML"
    }
}

Check Document Status

GET https://backend.alli.ai/webapi/check_file_status

Once you upload documents through API, it is converted, parsed, and embedded as vectors. This API shows the status of the process for a document being uploaded.

Headers

Request Body

{"result": 
    {"id": "YOUR DOCUMENT ID", 
    "status": "initializing"}}

Delete Documents

POST https://backend.alli.ai/webapi/delete_file

This API lets you delete uploaded files.

Headers

Request Body

{
    "result": {
        "ok": BOOLEAN
    },
    "errors": null
}

List Documents

GET https://backend.alli.ai/webapi/knowledge_bases

This API lets you list out the uploaded documents.

Query Parameters

Headers

{
  "result": {
    "items": [
      {
        "id": "DOCUMENT_ID",
        "fileName": "FILENAME",
        "hashtag": ["HASHTAG_1", "HASHTAG_2"],
        "autoHashtag": ["AUTOHASHTAG_1"]
      }
    ]
  },
  "errors": null
}

Rename Documents (Knowledge Base)

POST https://backend.alli.ai/webapi/update_kb_name

This API lets you update the name for an uploaded document.

Headers

Request Body

{
    "result": {
        "id": "DOCUMENT_ID",
        "filename": "FILENAME"
    }
}

Update Documents

POST https://backend.alli.ai/webapi/update_document

This API lets you update hashtags, footer title, and footer title link for a document.

Headers

Request Body

{
    "result": {
        "knowledgeBase": {
            "id": "DOCUMENT_ID",
            "hashtags": [
                "HASHTAG_1",
                "HASHTAG_2"
            ],
            "footer": "FOOTER_IN_HTML"
        }
    },
    "errors": null
}

Knowledge Base Toggle Status

POST https://backend.alli.ai/webapi/toggle_documents

This API lets you change the status of many documents (AKA knowledge bases) at once

Headers

Request Body

{
  "result": {
    "knowledgeBases": [
      {
        "id": "YOUR_FIRST_DOCUMENT_ID",
        "status": true or false
      },
      {
        "id": "YOUR_SECOND_DOCUMENT_ID",
        "status": true or false
      }
    ]
  },
  "errors": null
}

Knowledge Base Auto Hashtag (Classification)

POST https://backend.alli.ai/webapi/kb_auto_hashtag

This API lets you get the hashtag list with classification keywords for the documents.

Headers

Request Body

{
    "result": {
        "updated": [
            {
                "id": "DOCUMENT_ID",
                "autoHashtags": [
                    {
                        "id": "KNOWLEDGE_BASE_AUTO_HASHTAG_ID",
                        "state": "STATE",
                        "bestConfidence": NUMBER,
                        "autoHashtag": {
                            "hashtag": "HASHTAG_VALUE"
                        }
                    }
                ]
            }
        ]
    },
    "errors": null
}

Knowledge Base Auto Hashtag Feedback (Classification)

POST https://backend.alli.ai/webapi/kb_auto_hashtag_feedback

This API lets you approve or decline classification hashtags for documents

Headers

Request Body

{
    "result": [
        {
            "id": "KNOWLEDGE_BASE_AUTO_HASHTAG_ID",
            "state": "STATE"
        },
        {
            "id": "KNOWLEDGE_BASE_AUTO_HASHTAG_ID_2",
            "state": "STATE"
        }
    ]
}

Select Answer

POST https://backend.alli.ai/webapi/faq/select_answer

This method should be used to simulate a user looking up a specific FAQ

Path Parameters

Request Body

{"result": "Success"}

Agent Management

POST https://backend.alli.ai/webapi/agent_management

Used to create and delete agents from the project.

Headers

Request Body

{
    "result": {
        "id" : "QWdlbnQ6NWZkMmFjMzIwODQ4MzY1ZDI4NWFjMGUw",
        "status": "deleted" 
    },
    "errors": null
}

Get All Hashtags

GET https://backend.alli.ai/webapi/hashtags

Gets all hashtags from both FAQs and MRCs

Headers

{
  "result": {
    "sample_tag1": 2,
   "sample_tag2": 1,
  }
}

Q&A Query History

GET https://backend.alli.ai/webapi/faq_histories

Returns the past Q&A Searches that have been done, both through the REST API and the Alli dashboard.

Query Parameters

Headers

{
    "result": {
        "histories": [
            {
                "agent": {
                    "id": "QWdlbnQ6NjA0NmMyNWJmNTFjMmVlYjc4Mjg3Zjcy"
                },
                "question": "What is life?",
                "answers": [
                    {
                        "faq": {
                            "id": "RkFROjYwNDZjMmUxM2MzYmQ5MjVmMzgxMGNkOQ=="
                        },
                        "effectiveConfidence": 0.9999999999999927,
                        "confidence": 0.9999999999999927
                    }
                ]
            }
        ],
        "count": 1
    },
    "errors": null
}

Documents Query History

GET https://backend.alli.ai/webapi/mrc_histories

Returns the past Documents Searches that have been done, both through the REST API and the Alli dashboard.

Query Parameters

Headers

{
    "result": {
        "histories": [
            {
                "agent": {
                    "id": "QWdlbnQ6NWZiNzc5MGIwZjE3Zjc5ZmNiNzVlYzFh"
                },
                "question": "program memory of c004",
                "answers": [
                    {
                        "knowledgeBase": {
                            "id": "S25vd2xlZGdlQmFzZTo2MDUyODM0ODFiYzgxNDcwZTEzNGRjNDQ=",
                            "fileName": "specification_en.pdf"
                        },
                        "answer": "{\"blocks\": [{\"key\": \"kn13\", \"type\": \"unstyled\", \"text\": \"Type capacity program memory program memory - C004, B04KR: 80KB\", \"depth\": 0, \"inlineStyleRanges\": [], \"entityRanges\": [], \"data\": {}}, {\"key\": \"2vjf\", \"text\": \" \", \"type\": \"unstyled\", \"depth\": 0, \"inlineStyleRanges\": [], \"entityRanges\": [], \"data\": {}}, {\"key\": \"45cb\", \"text\": \"— From specification_en.pdf\", \"type\": \"unstyled\", \"depth\": 0, \"inlineStyleRanges\": [{\"offset\": 0, \"length\": 27, \"style\": \"ITALIC\"}], \"entityRanges\": [{\"offset\": 7, \"length\": 20, \"key\": 0}], \"data\": {}}], \"entityMap\": {\"0\": {\"type\": \"LINK\", \"mutability\": \"MUTABLE\", \"data\": {\"url\": \"https://staging-download.alli.ai/download_document/UHJvamVjdDo1ZmI3NzkwYjBmMTdmNzlmY2I3NWVjMWM=/S25vd2xlZGdlQmFzZTo2MDUyODM0ODFiYzgxNDcwZTEzNGRjNDQ=\"}}}}",
                        "answerHash": "6648c76e9be27864557f84ab7822cde8",
                        "answerFormat": "DRAFTJS",
                        "hashtags": [],
                        "feedbackAvailable": true,
                        "columnFilterValues": []
                    },
                    ...
                    {
                        "knowledgeBase": {
                            "id": "S25vd2xlZGdlQmFzZTo2MDUyODM0ODFiYzgxNDcwZTEzNGRjNDQ=",
                            "fileName": "specification_en.pdf"
                        },
                        "answer": "{\"blocks\": [{\"key\": \"87us\", \"type\": \"unstyled\", \"text\": \"Type capacity reload memory reload memory - C004, B04KR: 2048KB\", \"depth\": 0, \"inlineStyleRanges\": [], \"entityRanges\": [], \"data\": {}}, {\"key\": \"p0wr\", \"text\": \" \", \"type\": \"unstyled\", \"depth\": 0, \"inlineStyleRanges\": [], \"entityRanges\": [], \"data\": {}}, {\"key\": \"qpau\", \"text\": \"— From specification_en.pdf\", \"type\": \"unstyled\", \"depth\": 0, \"inlineStyleRanges\": [{\"offset\": 0, \"length\": 27, \"style\": \"ITALIC\"}], \"entityRanges\": [{\"offset\": 7, \"length\": 20, \"key\": 0}], \"data\": {}}], \"entityMap\": {\"0\": {\"type\": \"LINK\", \"mutability\": \"MUTABLE\", \"data\": {\"url\": \"https://staging-download.alli.ai/download_document/UHJvamVjdDo1ZmI3NzkwYjBmMTdmNzlmY2I3NWVjMWM=/S25vd2xlZGdlQmFzZTo2MDUyODM0ODFiYzgxNDcwZTEzNGRjNDQ=\"}}}}",
                        "answerHash": "9537b6560701930d079f39ced8be1b3e",
                        "answerFormat": "DRAFTJS",
                        "hashtags": [],
                        "feedbackAvailable": true,
                        "columnFilterValues": []
                    }
                ]
            }
        ],
        "count": 1
    },
    "errors": null
}

Uploading Q&A and Documents

Please sign up and sign in to the Alli dashboard first. You must select 'Cognitive Search' for the Project Type when you sign up. Go to the Q&A tab on the dashboard to upload question-answer pairs. If you want to upload unstructured text data such as Word, PDF, Powerpoint, and Excel file, go to the Documents tab in the dashboard and upload the documents.

If you want to automatically sync with your data source, such as MS OneDrive, please go to the Source tab. Uploading the document via API is in the Upload Document section in this page.

Getting the API KEY

Please provide your API key in the request header API-KEY. Your API key can be found in your dashboard Settings menu, under the General tab.

Providing Agent or User Information

For certain endpoints, you can add agent or user information in the request header to specify who makes the call.

Agent information can be provided in the request header AGENT-EMAIL. You can find your agents' email information in your dashboard Settings > Agent menu. Below is an example.

-H 'AGENT-EMAIL: agent_1@email.com'

A user ID can be provided in the request header OWN-USER-ID. The user ID can be either a new one or an existing one, and if a new user ID is provided, Alli will create a new user with that ID. Any future API calls with the same OWN-USER-ID header will be considered as they're from the same user.

If you want to update the user's email address at the same time, you can provide the email address in the request header USER-EMAIL. Below is an example.

-H 'OWN-USER-ID: 5f1234567a409876c082487z' \
-H 'USER-EMAIL: user_1@email.com'

You cannot use non-ASCII characters for OWN-USER-ID. If the user ID includes any non-ASCII characters, you can encode the ID to base64 and use base64:CONVERTED_ID.

You can find saved user ID and email information in your Alli dashboard Customers menu.

Error Messages

Please read the error message you get if you don't get the response that you expected. For example, if you don't use the right HTTP method for the API, you'll get this type of error as response:

{“error”: “Method Not Allowed POST: /webapi/faq_feedbacks”}

Search from Q&A

POST https://backend.alli.ai/webapi/faq

This API lets you find the most relevant question and answer pairs from your Q&A knowledge base.

Headers

Request Body

The API will find the most relevant question and answers from your Q&A database.

confidence: It shows the confidence value from AI model. Shown as a number value between 0 and 1.

effectiveConfidence: When you provide feedback to the query result, it automatically trains the AI model. Effective confidence is the adjusted score with these users' and agents' feedback. Shown as a number value between 0 and 1.

question: This is the question part of the selected Q&A pair.

answer: This is the answer part of the selected Q&A pair.

id: This is used to identify the result to give or cancel feedback.

hashtags: Hashtags registered for the Q&A.

lastUpdatedDate: The date when the Q&A is last updated.

agentFeedback: The feedback from agents (through dashboard and REST calls) about this Q&A.

userFeedback: The feedback from users (through conversation) about this Q&A.

count: The number of suggested Q&As.

hashId: This hash id is being used when you call select_answer later.

The number of search results and the threshold follows your dashboard setting. Please check your settings in Q&A > Settings.

{"result": 
  [
    {
      "confidence": CONFIDENCE_VALUE, 
      "effectiveConfidence": EFFECTIVE_CONFIDENCE_VALUE, 
      "question": "QUESTION_1", 
      "answer": "ANSWER_1",
      "id": "ID_1",
      "hashtags": [],
      "lastUpdatedDate": "DATE",
      "agentFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
              },
      "userFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
              }
    }, ... 
  ],
  "count": 3,
  "hashId": "HASH_ID"
}

Request Example

Please replace YOUR_API_KEY with your one in the example below. Please see getting-api-key section.

curl -d '{ 
  "query": "How much is it?",
  "maxResults": 3, 
  "hashtags": ["wiki", "knowledge"], 
  "hashtagsOperator": "OR",
  "format": "text"}' \
-H 'API-KEY: YOUR API KEY' \
-H 'Content-Type: application/json' \
https://backend.alli.ai/webapi/faq

Response Example

{"result": 
  [
    {
      "confidence": 0.8371959004827834, 
      "effectiveConfidence": 0.9698303406362148, 
      "question": "How is the product priced?", 
      "answer": "We have a pricing table that includes a free plan.",
      "id": "ClMVIjCoNDAiZDLyNWZhM1O3YTUIIKZjPPRcER==",
      "hashtags": [],
      "lastUpdatedDate": "2020-11-19",
      "agentFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
            },
      "userFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
            }
    },
    {
      "confidence": 0.6119840535714456, 
      "effectiveConfidence": 0.7738889000171243, 
      "question": "Do you have a pricing table?", 
      "answer": "Yes we do. Please check out our website",
      "id": "RkFROjVmNDAwZDMyNWZhM2Y4YTA1ZDZjNWUwMQ==",
      "hashtags": [],
      "lastUpdatedDate": "2020-11-20",
      "agentFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
            },
      "userFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
            } 
  ],
  "count": 2,
  "hashId": "d4ca12d4e64766er0c2b45f4aa5463a4"
}

Search from Documents

POST https://backend.alli.ai/webapi/mrc

Documents API finds an answer from your unstructured text documents and even from complex tables.

Headers

Request Body

You will get the result as the following JSON format:

answer: It's the answer extracted from uploaded documents in the dashboard.answerHash: This is used to identify the answer to give or cancel feedback.

answerHash: This is used to identify the answer to give or cancel feedback.

confidence: It shows the confidence value from AI model. Shown as a number value between 0 and 1.

effectiveConfidence: When you provide feedback to the query result, it automatically trains the AI model. Effective confidence is the adjusted score with these users' and agents' feedback. Shown as a number value between 0 and 1.

documentId: The document's ID where the answer is extracted from.

documentName: The document's name where the answer is extracted from.hashtags: The hashtags attached to the document.

pageNo: The page number in the document where the answer was derived.

createdDate: The date when the document was uploaded.

agentFeedback: The feedback from agents (through dashboard and REST calls) about this document

userFeedback: The feedback from users about this document

body: If returnPreview is true in the request, the html body of the document search preview is displayed.

css: If returnPreview is true in the request, the css of the document search preview is displayed.

pdfPreview: If returnPdfPreview is true in the request, the URL to a PDF preview of the document with the answer highlighted is displayed. Note that the URL can be restricted using the Download IP Allowlist setting.

folder: If the answer is found from a folder under the Documents database, the folder name will be returned here.

editor: List of the agents' email who has the editor access to the documents (if they're set in the Alli dashboard).

viewer: List of the agents' email who has the viewer access to the documents. (if they're set in the Alli dashboard).

paragraphIndex: This value is needed to highlight a specific area when requesting a preview. It is used as parameters for the preview API.

The number of search results and the threshold follows your dashboard setting. Please check your setting in Documents > Settings.

{
    "result": [
        {
            "answer": "ANSWER_1",
            "answerHash": "ANSWER_HASH_1",
            "confidence": CONFIDENCE_1,
            "effectiveConfidence": EFFECTIVE_CONFIDENCE_1,
            "documentId": "DOCUMENT_ID_1",
            "documentName": "DOCUMENT_NAME_1",
            "hashtags": [],
            "pageNo": PAGE_NUMBER,
            "paragraphIndex": 0,
            "createdDate": "DATE",
            "agentFeedback": {
                "positiveCount": 0,
                "negativeCount": 0
            },
            "userFeedback": {
                "positiveCount": 0,
                "negativeCount": 0
            },
            "body": "PREVIEW_HTML_BODY",
            "css": "PREVIEW_CSS",
            "pdfPreview": "PDF_PREVIEW_URL",
            "folder": "folder 1", 
            "editor": ["email_1@allganize.ai", "email_2@allganize.ai"], 
            "viewer": ["email_3@allganize.ai"]
        }
    ]
}

Request Example (hashtags)

Please replace YOUR_API_KEY with your one in the example below. Please see getting-api-key section.

curl -X POST -d '{ 
  "query": "can I disclose the composite ratings?",
  "maxResults": 3, 
  "hashtags": ["wiki", "knowledge"], 
  "hashtagsOperator": "OR",
  "format": "text",
  "returnPdfPreview": true,
  "returnPdfPreviewRawData": true \
-H 'API-KEY: YOUR API KEY' \
-H 'Content-Type: application/json' \
https://backend.alli.ai/webapi/mrc

Request Example (combinedHashtags)

Please replace YOUR_API_KEY with your one in the example below. Please see getting-api-key section.

curl -X POST -d '{ 
  "query": "can I disclose the composite ratings?",
  "maxResults": 3, 
  "hashtags": [], 
  "hashtagsOperator": "OR",
  "combinedHashtags": [["wiki","knowledge"],["elibrary","compliance"]]
  "combinedHashtagsOperator": "AND",
  "format": "text",
  "returnPdfPreview": true,
  "returnPdfPreviewRawData": true }' \
-H 'API-KEY: YOUR API KEY' \
-H 'Content-Type: application/json' \
https://backend.alli.ai/webapi/mrc

Response Example

{
  "count": 2,
  "result": [
    {
      "answer": "an institution’s board of directors and senior management",
      "answerHash": "8430cf3b9af628abc1bb063802db39be",
      "confidence": 0.9998937845230103,
      "effectiveConfidence": 1,
      "documentId": "S25vd2xlZGdlQmFzZTo1ZjMzODFkZmNhYWJjYWUyMjkzYjFhY2U=",
      "documentName": "Policy document 1.docx",
      "hashtags": [
        "hashtag1",
        "hashtag2"
      ],
      "pageNo": 5,
      "createdDate": "2020-11-18",
      "agentFeedback": {
        "positiveCount": 1,
        "negativeCount": 0
      },
      "userFeedback": {
        "positiveCount": 0,
        "negativeCount": 0
      },
      "pdfPreviewRawData": {
        "pdfs": [
          {
            "pdfUrl": "PDF_ACTUAL_URL",
            "pageNo": 1,
            "highlight_indexes": [
                12
              ]
          },
          {
            "pdfUrl": "PDF_ACTUAL_URL",
            "pageNo": 2,
            "highlight_indexes": [
                12,
                13,
                14
              ]
          }
      ],
      "totalPageNo": 10
      },
      "pdfPreview" : "PDF_PREVIEW_URL"
      "folder": "folder 1", 
      "editor": ["email_1@allganize.ai", "email_2@allganize.ai"], 
      "viewer": ["email_3@allganize.ai"]
    },
    {
      "answer": "banks cannot, except in very limited circumstances",
      "answerHash": "d849a49662a4f21df51de24d06196547",
      "confidence": 0.9998629689216614,
      "effectiveConfidence": 0.9998629689216614,
      "documentId": "S25vd2xlZGdlQmFzZTo1ZjMzODFkZmNhYWJjYWUyMjkzYjFhY2U=",
      "documentName": "Bank policy 2020.pdf",
      "hashtags": [
        "hashtag1",
        "hashtag2"
      ],
      "pageNo": 220,
      "createdDate": "2020-11-18",
      "agentFeedback": {
        "positiveCount": 1,
        "negativeCount": 0
      },
      "userFeedback": {
        "positiveCount": 0,
        "negativeCount": 0
      },
      "pdfPreviewRawData": {
        "pdfs": [
          {
            "pdfUrl": "PDF_ACTUAL_URL",
            "pageNo": 1,
            "highlight_indexes": [
                12
              ]
          }
      ],
      "totalPageNo": 5
      },
      "pdfPreview" : "PDF_PREVIEW_URL"
    }
  ]
}

Get Single Q&A

GET https://backend.alli.ai/webapi/single_faq

This is the method to get all the details of a single Q&A.

Headers

Request Body

{
    "result": {
        "question": "Who is there?",
        "answer": "Elmo",
        "id": "RkFROjYwMmY2ZTQ0YWZmMWQ5YmQ0NmM5Y2VkNw==",
        "userFeedback": {
            "positiveCount": 0,
            "negativeCount": 0
        },
        "agentFeedback": {
            "positiveCount": 0,
            "negativeCount": 1
        },
        "lastUpdatedDate": "2021-02-19",
        "createdDate": "2021-02-19",
        "hashtags": []
    }
}

Request Example

Please replace YOUR_API_KEY with your one in the example below. Please see getting-api-key section to get the api key.

curl -X GET \
-d '{"id": "iuHjHBhjHGbhjm==", "format": "text"}' \
-H "API-KEY: YOUR API KEY" \
https://backend.alli.ai/webapi/single_faq

Response Example

{
    "result": {
        "question": "Who is there?",
        "similarQuestion": ["Who's present?", "Who is it?"],
        "answer": "Elmo",
        "id": "RkFROjYwMmY2ZTQ0YWZmMWQ5YmQ0NmM5Y2VkNw==",
        "userFeedback": {
            "positiveCount": 0,
            "negativeCount": 0
        },
        "agentFeedback": {
            "positiveCount": 0,
            "negativeCount": 1
        },
        "lastUpdatedDate": "2021-02-19",
        "createdDate": "2021-02-19",
        "hashtags": []
    }
}

Get Single Document

GET https://backend.alli.ai/webapi/single_document

This is the method to get all details of a single document.

Headers

Request Body

      "id": "S25vd2xlZGdlQmFzZTo1ZjMzODFkZmNhYWJjYWUyMjkzYjFhY2U=",
      "documentName": "Policy document 1.docx",
      "createdDate": "2020-11-12",
      "agentFeedback": {
                "positiveCount": 1,
                "negativeCount": 0
            },
            "userFeedback": {
            "positiveCount": 0,
            "negativeCount": 0
        },
      "hashtags" : ["hashtag1", "hashtag2"]
    }
}

Request Example

Please replace YOUR_API_KEY with your one in the example below. Please see getting-api-key section to get the api key.

curl -X GET \
-d '{"id": "S25vd2xlZGdlQmFzZTo1ZjMzODFkZmNhYWJjYWUyMjkzYjFhY2U="}' \
-H "API-KEY: YOUR API KEY" \
https://backend.alli.ai/webapi/single_document

Response Example

{"result": {
      "id": "S25vd2xlZGdlQmFzZTo1ZjMzODFkZmNhYWJjYWUyMjkzYjFhY2U=",
      "documentName": "Policy document 1.docx",
      "createdDate": "2020-11-12",
      "agentFeedback": {
                "positiveCount": 1,