Try AI Operators on PostgreSQL

SamtSQL launches a PostgreSQL extension that enables AI operators for analyzing text, images, audio, and tables within existing databases. The tool supports SQL queries with natural-language filtering, classification, scoring, and semantic joins, offering tiered pricing plans with monthly AI credits. It aims to simplify multimodal data analysis for developers and data analysts.

Tables Standard SQL data types including text, integers, floating-point values, and Booleans. Semantic Analytics on Multimodal Tables samtSQL lets you write SQL with AI operators over text, images, audio, and tables stored in your existing PostgreSQL database. Connect your existing PostgreSQL database. Upload CSV or ZIP files containing images, audio, or text data. Run SQL with AI operators using REST API or visual interface. Ingest and analyze mixed data workloads in one environment. Standard SQL data types including text, integers, floating-point values, and Booleans. AI analysis over common image formats such as JPEG and PNG. Document and free-text analysis stored directly in relational tables. Analyze audio files such as MP3 and WAV with AI operators. Express analytical intent in natural language while staying in SQL. Filter multimodal data with natural-language conditions. Classify records with label names only. Assign scores based on natural-language criteria. Transform or extract information with natural-language instructions. Join datasets using semantic matching rules defined in natural language. Each uploaded format is available as a first-class input for SQL + AI workflows. Structured tabular uploads for relational analysis. Archive container for mixed multimodal assets. Compressed image format for visual analysis tasks. Lossless image format with high visual fidelity. Image format supported for uploaded media datasets. Modern web image format for compact storage. Compressed audio format for speech and sound data. Uncompressed audio format for detailed signal quality. Every plan unlocks the full SQL + AI operator set on PostgreSQL. Each plan bundles a monthly allotment of AI Credits for LLM usage and a per-day allowance of query compute time . $9 / month $29 / month $99 / month Daily compute time resets at 00:00 UTC. Switch between representative use cases and inspect each SQL pattern with syntax highlighting. Count customers who mention pricing concerns in free-text responses. SELECT COUNT FROM SurveyResults WHERE AIFILTER Comments, 'the customer complains about the price' ; Tag uploaded holiday images with semantic classes in one query. SELECT AICLASSIFY pic, 'beach picture', 'city visit', 'other' FROM HolidayImages; Turn MP3 clips stored in your tables into plain-text transcripts with one query. SELECT AIMAP content, 'Transcribe this audio into plain text.' AS transcript FROM AudioClips WHERE filename LIKE '%.mp3'; Sort comments by positivity score to prioritize outreach. SELECT FROM SurveyResults ORDER BY AISCORE Comments, 1, 10, 'Positivity' ; Condense long tickets into short summaries for triage. SELECT AIMAP ticket body, 'Summarize the customer issue in two sentences' FROM SupportTickets; Match equivalent products from independent datasets with semantic joins. SELECT FROM ProductDB1 P1, ProductDB2 P2 WHERE AIJOIN P1.productName, P2.productName, 'this is the same product' ; Read endpoint-by-endpoint API docs, operator specs, and practical tutorials for both the visual interface and Python REST clients.