Our Enterprise Search Connectors
JDBC and SQL Servers
Our SQL Connector allows for indexing data from SQL Servers, such as Postgres, Microsoft SQL or Oracle SQL Databases. It can also be used to index user-group relationships from a table. In turn, you can interprete the indexed data to build great enterprise search experiences, knowledge searches or bot applications powered by retrieval augmented generation.
Features
Our JDBC and SQL server connector comes with the following features.
- Indexing of views and tables via JDBC, including binary data
- Support Postgres, Microsoft SQL and Oracle Databases
- Full set of the record's metadata as part of the indexed documents
- Can interprete tables as security principals with user group relationships
- Efficient crawling
- Password authentication, SQL Server authentication
- Filters based on the SQL queries entered
- Easy configuration
Supported Search Engines
Our JDBC and SQL server connector supports the following search engines.
Search Engines
Our connectors support the following search engines:
- Microsoft Copilot
(SQL-Connector for Microsoft Copilot)
- Microsoft Search
(SQL-Connector for Microsoft Search)
- Microsoft Graph Connectors
(SQL-Connector for Microsoft Graph)
- Azure AI Search
(SQL-Connector for Azure AI Search)
- Elasticsearch
(SQL-Connector for Elasticsearch)
- Apache Solr
(SQL-Connector for Apache Solr)
- Microsoft Cosmos DB H2/2024
(SQL-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
