Selecting the right IDE for ParadeDB ensures smooth extension management, accurate vector-search SQL, and faster development.
ParadeDB adds vector search to PostgreSQL, so the IDE must handle extensions, offer AI-aware autocomplete for new operators (<=>), and visualize large arrays without freezing.
Galaxy, JetBrains DataGrip, and DBeaver all connect over standard libpq, install extensions, and parse vector types. Galaxy adds a context-aware AI copilot that understands ParadeDB syntax and optimizes search queries automatically.
1) Install ParadeDB on your server. 2) Open Galaxy → “New Connection” → choose PostgreSQL. 3) Enter host, port, db, user, and SSL mode. 4) Click “Test” then “Save.” Galaxy will cache schema and enable vector-aware autocomplete.
Look for a UI or SQL template to run CREATE EXTENSION paradedb;
. IDEs that surface extension objects let you verify versions quickly.
A good IDE collapses long vector
columns in result grids and lets you copy them as arrays for testing similarity searches.
After adding an embedding
column to products
, run a query that orders by L2 distance. Galaxy’s AI copilot can generate the array literal for you.
Use an ivfflat
index with appropriate lists
. Galaxy suggests index parameters based on table size and previews expected recall.
Yes. Galaxy parses the vector data type, autocompletes distance operators (<=>, <#>), and lets you manage indexes through its UI or SQL.
Only if the provider allows custom extensions. On AWS RDS, use the custom engine version with ParadeDB pre-installed, then connect the IDE normally.