The BA Insight OpenText eDOCS DM Connector for Search unifies content stored in OpenText eDOCS Document Management repositories—such as documents, emails, graphics, PDFs, engineering drawings, and scanned records—directly into leading search platforms including SharePoint, Azure AI Search, and Elasticsearch. It provides a single, highly scalable library for all work product and matter information, allowing users to search and retrieve content in one place for improved collaboration and efficiency.
The connector leverages BA Insight’s Connector Framework to support secure, high-throughput full and incremental crawls. Security permissions set within eDOCS DM are rigorously maintained, ensuring users only see content to which they have been granted access. All indexed content can be accessed from within enterprise portals, eliminating the need for duplicate searches.
Problems OpenText eDOCS DM Connector for Search Solves
Fragmented access to critical work product and matter content across platforms.
Time-consuming, multi-search workflows for documents and records retrieval.
Security and compliance exposure due to improper access controls in enterprise search.
Difficulty scaling enterprise search as content volumes grow.
Benefits OpenText eDOCS DM Connector for Search Delivers
Seamless Integration with Leading Enterprise Search Platforms
Seamless integration of OpenText eDOCS DM content into SharePoint, Azure AI Search, Elasticsearch, and more.
Secure, Permission-Aware Indexing Honoring eDOCS Access Controls
Rigorous security trimming—search only returns content for authorized users.
Full and Incremental Crawling for Timely, Accurate Search Results
Both full and incremental crawling for fresh, accurate search results.
Unified Content Discovery to Enhance Productivity and Collaboration
Consolidates electronic content, boosting productivity and facilitating collaboration.
High Scalability and Performance for Large Content Repositories
Scalability and performance suitable for organizations with large and diverse content repositories.
Key Features of the OpenText eDOCS DM Connector for Search
Key Features of the OpenText eDOCS DM Connector for Search
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Secure, High-Throughput Crawling
Secure, High-Throughput Crawling
Indexes vast libraries with low impact on system resources.
This connector enables organizations to unlock and govern their OpenText eDOCS DM content, resulting in efficient discovery, enhanced compliance, and unified enterprise knowledge management.
FAQ
FAQ
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Yes; only users with granted permissions in eDOCS DM will see content in search.
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Yes; both full and incremental crawls are supported for continuous index freshness.
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SharePoint, Azure AI Search, Elasticsearch, and more.
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Yes; integrates with over 95 content sources, supporting unified knowledge access.
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No; operates agentlessly with the Connector Framework.