# Knowledge Base Search API

# Overview

This API endpoint allows you to search through articles and other content with semantic understanding. It returns results ranked by relevance to your query. Other than the External Knowledge API, this API searches all of your knowledge, including Webpages, PDFs, (internal/external) Articles, Q&A or tables.

# Authentication

All endpoints require API key authentication, ask your Customer Success Manager or techical support at moinAI for the key.

Example `cURL' call:

curl -L 'https://api.moin.ai/api/v1/knowledge/search' -H 'Content-Type: application/json' -H 'x-api-key: YOUR_API_KEY' -d '{"query":"Was ist der Punktprozess?","options":{"topK":5,"includeContent":true,"includeFaqs":false},"filters":{"type":"WEBPAGE"}}'

Beware: If your company owns more than one chatbot from moinAI, then each of the bots has a single dedicated API key that identifies the bot where the knowledge should be added.

Method: POST
Endpoint: https://api.moin.ai/api/v1/knowledge/search

# Request Body

Field	Type	Required	Description
query	string	Yes	The search query text
filters	object	No	Optional filters to narrow search results
options	object	No	Optional configuration for the search

# Options Object

Field	Type	Description
topK	number	Limit the number of results returned
includeFaqs	boolean	Whether to include FAQ content in results
includeContent	boolean	Whether to include full content in response
onlyActiveIntents	boolean	Whether to only return active intent matches

# Example Request body:

{
   "query": "Was ist ein Punktprozess?",
   "options": {
    "topK": 5,
    "includeContent": true,
    "includeFaqs": false
   },
   "filters": {
    "type": "WEBPAGE"
   }
}

# Response

The API returns an array of matching documents, each containing:

Field	Type	Description
resourceDocId	string	Unique identifier for the document
type	string	Document type (WEBPAGE, PDF, DOCUMENT, or IMAGE)
status	string	Document status (active, inactive, or pending)
metaData	object	Additional metadata about the document
url	string	URL of the resource (if applicable)
bestMatchScore	number	Highest similarity score (0-1) among matched text parts
similarTextParts	array	Text segments that match the query with similarity scores
content	array	Content blocks of the document

# Similar Text Parts Object

Field	Type	Description
text	string	The matched text content
similarity	number	Similarity score (0-1) where 1 indicates perfect match
start	integer	Starting position (line) of the matched text
stop	integer	Ending position (line) of the matched text

# Content Object

Field	Type	Description
md	string	Markdown content of the resource

# Example response:

[
  {
    "resourceDocId": "667970c04f8d423fa368a549",
    "type": "WEBPAGE",
    "status": "active",
    "metaData": {},
    "url": "https://de.wikipedia.org/wiki/Punktprozess",
    "similarTextParts": [
      {
        "text": "Some text part of the whole content",
        "similarity": 0.8876120515100941,
        "start": 5,
        "stop": 12
      },
      {
        "text": "Another text part of the whole content",
        "similarity": 0.8796765947727511,
        "start": 34,
        "stop": 43
      }
    ],
    "bestMatchScore": 0.8876120515100941,
    "content": [
      {
        "md": "The whole content of the webpage"
      }
    ]
  }
]

# Example Usage

JavaScript:

const response = await fetch('https://api.moin.ai/api/v1/knowledge/search', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'x-api-key: YOUR_API_KEY'
  },
  body: JSON.stringify({
    query: "How do I reset my password?",
    options: {
      topK: 5,
      includeFaqs: true
    }
  })
});

const results = await response.json();

Python:

import requests
import json

url = "https://api.moin.ai/api/v1/knowledge/search"
headers = {
    "Content-Type": "application/json",
    "x-api-key": "YOUR_API_KEY"
}
payload = {
    "query": "How do I reset my password?",
    "options": {
        "topK": 5,
        "includeFaqs": True
    }
}

response = requests.post(url, headers=headers, json=payload)
results = response.json()

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