Connect PostgreSQL as a governed source for AI answers. Ask questions, inspect generated SQL, and keep provenance attached across JSONB, CTEs, window functions, and joins.
14-day trial / no credit card / 150 governed questions included
Provide your PostgreSQL connection string (hostname, port, database, credentials). We support PostgreSQL 10+ including AWS RDS, Azure Database, Google Cloud SQL, and self-hosted instances. SSL/TLS connections supported.
Answerplane builds PostgreSQL source context across tables, columns, data types, relationships, indexes, and constraints. This context keeps generated plans grounded in the source.
Ask questions like 'Show me top 10 customers by revenue this quarter' or 'Which products have low inventory?' Review the PostgreSQL plan, SQL, and result provenance before reuse.
Full support for JSONB queries, common table expressions (CTEs), window functions, arrays, and PostgreSQL-specific functions. Generated SQL stays idiomatic to PostgreSQL and visible for review.
Builds live PostgreSQL source context across tables, views, indexes, foreign keys, and constraints. Relationship context shapes inspectable SQL plans.
All PostgreSQL connections use read-only credentials, preventing accidental data modifications. Query with confidence knowing your data is protected.
Builds SQL plans around indexes, JOINs, and WHERE clauses. Includes EXPLAIN analysis suggestions for query optimization.
SELECT customer_name, state, total_revenue
FROM customers
WHERE state = 'CA' AND total_revenue > 50000
ORDER BY total_revenue DESC;Simple WHERE clause with multiple conditions and sorting
SELECT
DATE_TRUNC('month', order_date) AS month,
AVG(order_total) AS avg_order_value,
COUNT(*) AS order_count
FROM orders
WHERE EXTRACT(YEAR FROM order_date) = 2024
GROUP BY DATE_TRUNC('month', order_date)
ORDER BY month;Uses PostgreSQL date functions, aggregations, and GROUP BY
SELECT product_name, price, metadata
FROM products
WHERE metadata @> '{"organic": true}'::jsonb
ORDER BY price DESC;Leverages PostgreSQL JSONB containment operator for JSON querying
SELECT
category,
product_name,
total_sales,
RANK() OVER (PARTITION BY category ORDER BY total_sales DESC) AS sales_rank
FROM product_sales
ORDER BY category, sales_rank;Uses window functions for ranking within partitions
WITH customer_orders AS (
SELECT
customer_id,
order_date,
order_total,
SUM(order_total) OVER (PARTITION BY customer_id ORDER BY order_date) AS lifetime_value
FROM orders
)
SELECT * FROM customer_orders WHERE lifetime_value > 10000;Common Table Expression (CTE) with window function for running totals
SELECT
e.employee_name,
COUNT(r.report_id) AS direct_reports
FROM employees e
LEFT JOIN employees r ON r.manager_id = e.employee_id
GROUP BY e.employee_id, e.employee_name
HAVING COUNT(r.report_id) > 0
ORDER BY direct_reports DESC;Self-join for hierarchical data with aggregation
These are a few examples. Answerplane keeps the plan, query, and provenance visible before teams save or embed an answer.
All PostgreSQL connections use read-only database roles to prevent data modifications
Connection credentials encrypted at rest with AES-256 encryption
SSL/TLS required for all database connections (enforced)
Query timeout limits prevent long-running queries (configurable per organization)
Row-level security (RLS) support - Answerplane respects PostgreSQL RLS policies
No wholesale source-data replication; saved artifacts retained only when features require it
Multi-tenant isolation ensures organizations cannot access each other's databases
Audit logs track all database queries for compliance requirements
Navigate to Settings > Databases > Add Database, select PostgreSQL, and provide your connection details (host, port, database name, username, password). We recommend creating a dedicated read-only user for Answerplane. Connection strings like postgresql://user:pass@host:5432/db are also supported.
Yes! Answerplane fully supports PostgreSQL-specific features including JSONB queries, arrays, CTEs (WITH clauses), window functions, full-text search, and PostgreSQL functions like DATE_TRUNC, EXTRACT, ARRAY_AGG, and more.
Answerplane supports PostgreSQL 10 and newer, including Amazon RDS PostgreSQL, Azure Database for PostgreSQL, Google Cloud SQL PostgreSQL, Heroku Postgres, and self-hosted instances.
Absolutely. Answerplane builds source context for both regular views and materialized views just like tables. The planner keeps the underlying structure visible in reviewable SQL plans.
Live schema context detects foreign key relationships between tables. When questions span multiple tables, the planner builds reviewable JOIN plans using these relationships.
Yes. We enforce read-only access, encrypt credentials at rest, and rely on your source permissions as the system of record. We do not ingest or replicate source contents wholesale; saved chats, dashboards, exports, uploads, and materialized artifacts are retained only when you use those features.
Yes. Answerplane understands JSONB columns and can build inspectable queries using PostgreSQL's JSONB operators like @>, ->, ->>, #>, and more for requests such as 'find products where metadata has category electronics'.
Plan drafting typically takes 1-3 seconds. Actual execution time depends on your PostgreSQL database performance. The planner builds SQL around indexes and WHERE clauses to keep execution reviewable.
Absolutely! Answerplane excels at analytics queries using aggregations (SUM, AVG, COUNT), GROUP BY, window functions, and date/time functions. Perfect for business intelligence and reporting use cases.
Yes, Answerplane works seamlessly with PostgreSQL partitioned tables. Our introspection detects the partition structure, and queries work transparently across partitions.
Still have questions?
Contact our teamLet teams ask questions, inspect plans, and publish trusted PostgreSQL answers with provenance attached.
14-day trial / no credit card / 150 governed questions included
Try with your own approved source, or use the browser-only sample to inspect the flow first.
Open the sample dashboard