Connect PostgreSQL to ZenSearch
Query your PostgreSQL databases with natural language. ZenSearch discovers your schema and translates questions into SQL — no query writing required.
What ZenSearch indexes from PostgreSQL
Schema Discovery
ZenSearch automatically discovers tables, columns, data types, relationships, and constraints. The schema is used to generate accurate SQL queries from natural language.
Natural Language to SQL
Ask questions in plain English. ZenSearch translates them into optimized SQL queries, executes them against your database, and returns human-readable answers.
Read-Only Queries
All generated queries are strictly read-only. SELECT statements only — DROP, DELETE, INSERT, UPDATE, and other mutations are blocked at the query validation layer.
SSL/TLS Encryption
Supports all PostgreSQL SSL modes including require, verify-ca, and verify-full. Connect securely to databases in any environment.
Error Correction
When a generated query fails, ZenSearch uses the error message and schema context to automatically repair and retry the query.
SSRF Protection
Connection endpoints are validated to prevent SSRF attacks. Localhost, metadata endpoints, and private IP ranges are blocked by default.
Up and running in three steps
Authenticate your account and select the resources to index. ZenSearch handles OAuth, API keys, and enterprise SSO.
ZenSearch parses, chunks, and vectorizes your content. Incremental sync keeps everything up to date automatically.
Your team searches across all connected sources with AI-powered semantic search, chat, and agents.
Questions your team can finally answer
Once PostgreSQL is connected, your team can ask natural-language questions and get cited answers instantly.
“How many users signed up in the last 30 days?”
Translates the question into a COUNT query against your users table with a date filter, executes it, and returns the answer.
“Which customers have the highest order values this quarter?”
Generates a JOIN across customers and orders tables with aggregation and date filtering, returning a ranked list.
“What is the average response time for support tickets by priority?”
Queries the tickets table, calculates average resolution time grouped by priority level, and presents the results in a clear summary.
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