Athena RAG
Athena RAG
Athena RAG helps organizations securely retrieve information from internal documents, standard operating procedures, proprietary knowledge, policies, and regulations using role-based access control. It also supports Text-to-SQL for enterprise databases, Excel exports, data visualization, and governed business intelligence workflows.
Created by ChatRAG Ltd.
Athena converts natural-language questions into SQL, executes them securely, returns result tables, supports Excel downloads, and can visualize the results.
Built by ChatRAG Ltd for organizations that need secure AI over sensitive documents, databases, internal systems, policies, and business knowledge.
Staff can securely ask questions over standard operating procedures, policies, regulations, proprietary information, reports, contracts, and internal knowledge bases. Access is controlled by user roles, so employees only retrieve information they are allowed to see.
Athena enables employees to find trusted answers from approved internal documents without manually searching folders, PDFs, emails, or policy repositories.
Convert business questions into executable SQL with schema-aware reasoning, database connection support, governed query execution, and downloadable results.
Turn SQL results into charts, dashboards, and downloadable Excel reports. Athena helps users move from question to insight without writing SQL or code.
Deploy Athena inside your own infrastructure, private cloud, or restricted network. Designed for organizations that cannot send sensitive data to external AI APIs.
Connect to MSSQL, PostgreSQL, Oracle, MySQL, file stores, internal systems, and enterprise data workflows.
Athena is designed for regulated environments where data control, access isolation, and auditability are not optional.
Your organization’s files, prompts, database records, and query results are not used to train external models.
Staff access can be restricted by role, department, or permission level, helping organizations protect confidential internal information.
Track prompts, generated SQL, executed queries, retrieved context, user actions, and downloadable results for enterprise accountability.
Many organizations allow staff to query production databases directly through SQL tools. While this improves access to information, it can also make sensitive data exposure difficult to monitor, especially when SELECT queries are not reviewed with the same attention as data-changing operations.
Athena provides a controlled natural-language layer for database querying, reducing the need for direct access through tools such as SQL management clients on user devices.
Every user question, generated SQL query, executed database request, and returned result can be logged in a format that both technical and non-technical auditors can understand.
When employees know that database access is centrally monitored and explainable, unauthorized data exploration becomes easier to detect and harder to justify.
Athena helps business and technical teams interact with organizational knowledge using natural language.
Tell us about your organization and how you want to use Athena RAG. Your request will be sent securely to ChatRAG Ltd.