Our Enterprise Search Connectors
Microsoft Dynamics 365
Our Microsoft Dynamics 365 allows for indexing all knowledge articles, cases, posts, notes, contacts, accounts, sales orders, opportunities and their metadata. It also indexes Active Directory security principals for secure search. In turn, you can build great enterprise search experiences, knowledge searches or bot applications powered by retrieval augmented generation.
Features
Our Dynamics 365 connector comes with the following features.
- Indexing of all knowledge articles, cases, posts, notes, contacts, accounts, sales orders, opportunities and more from your Dynamics 365 instance
- Supports Microsoft Dynamics 365 Version 8 and above.
- Full set of Dynamics metadata
- Full support for Dynamics 365's permission scheme
- Efficient incremental crawling based on change logs
- Application authentication via NTLM or Kerberos
- Based on Microsoft Dynamics 365's REST APIs
- Filters based on object and file types
- Easy configuration
Supported Search Engines
Our Dynamics 365 connector supports the following search engines.
Search Engines
Our connectors support the following search engines:
- Microsoft Copilot
(Microsoft Dynamics 365-Connector for Microsoft Copilot)
- Microsoft Search
(Microsoft Dynamics 365-Connector for Microsoft Search)
- Microsoft Graph Connectors
(Microsoft Dynamics 365-Connector for Microsoft Graph)
- Azure AI Search
(Microsoft Dynamics 365-Connector for Azure AI Search)
- Elasticsearch
(Microsoft Dynamics 365-Connector for Elasticsearch)
- Apache Solr
(Microsoft Dynamics 365-Connector for Apache Solr)
- Microsoft Cosmos DB H1/2025
(Microsoft Dynamics 365-Connector for Microsoft Cosmos DB)
Framework Features
- Scalable connector framework for millions of documents
- Easy to setup and configure
- One interface to manage all connectors
- Robust crawl strategies for content and security principals
- Flexible crawl scheduling built-in
- Document and principal processing pipelines
- Debugging and development made easy: State views which show
- crawled documents
- document metadata
- how the metadata became transformed in the processing pipeline
- indexed security principals and their relationships
- timings
- and more
