{"slug": "try-ai-operators-on-postgresql", "title": "Try AI Operators on PostgreSQL", "summary": "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.", "body_md": "### Tables\n\nStandard SQL data types including text, integers, floating-point values, and Booleans.\n\nSemantic Analytics on Multimodal Tables\n\nsamtSQL lets you write SQL with AI operators over text, images, audio, and tables stored in your existing PostgreSQL database.\n\nConnect your existing PostgreSQL database.\n\nUpload CSV or ZIP files containing images, audio, or text data.\n\nRun SQL with AI operators using REST API or visual interface.\n\nIngest and analyze mixed data workloads in one environment.\n\nStandard SQL data types including text, integers, floating-point values, and Booleans.\n\nAI analysis over common image formats such as JPEG and PNG.\n\nDocument and free-text analysis stored directly in relational tables.\n\nAnalyze audio files such as MP3 and WAV with AI operators.\n\nExpress analytical intent in natural language while staying in SQL.\n\nFilter multimodal data with natural-language conditions.\n\nClassify records with label names only.\n\nAssign scores based on natural-language criteria.\n\nTransform or extract information with natural-language instructions.\n\nJoin datasets using semantic matching rules defined in natural language.\n\nEach uploaded format is available as a first-class input for SQL + AI workflows.\n\nStructured tabular uploads for relational analysis.\n\nArchive container for mixed multimodal assets.\n\nCompressed image format for visual analysis tasks.\n\nLossless image format with high visual fidelity.\n\nImage format supported for uploaded media datasets.\n\nModern web image format for compact storage.\n\nCompressed audio format for speech and sound data.\n\nUncompressed audio format for detailed signal quality.\n\nEvery 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**.\n\n$9 / month\n\n$29 / month\n\n$99 / month\n\n*Daily compute time resets at 00:00 UTC.\n\nSwitch between representative use cases and inspect each SQL pattern with syntax highlighting.\n\nCount customers who mention pricing concerns in free-text responses.\n\n```\nSELECT COUNT(*)\nFROM SurveyResults\nWHERE AIFILTER(Comments, 'the customer complains about the price');\n```\n\nTag uploaded holiday images with semantic classes in one query.\n\n```\nSELECT AICLASSIFY(pic, 'beach picture', 'city visit', 'other')\nFROM HolidayImages;\n```\n\nTurn MP3 clips stored in your tables into plain-text transcripts with one query.\n\n```\nSELECT AIMAP(content, 'Transcribe this audio into plain text.') AS transcript\nFROM AudioClips\nWHERE filename LIKE '%.mp3';\n```\n\nSort comments by positivity score to prioritize outreach.\n\n```\nSELECT *\nFROM SurveyResults\nORDER BY AISCORE(Comments, 1, 10, 'Positivity');\n```\n\nCondense long tickets into short summaries for triage.\n\n```\nSELECT AIMAP(ticket_body, 'Summarize the customer issue in two sentences')\nFROM SupportTickets;\n```\n\nMatch equivalent products from independent datasets with semantic joins.\n\n```\nSELECT *\nFROM ProductDB1 P1, ProductDB2 P2\nWHERE AIJOIN(P1.productName, P2.productName, 'this is the same product');\n```\n\nRead endpoint-by-endpoint API docs, operator specs, and practical tutorials for both the visual interface and Python REST clients.", "url": "https://wpnews.pro/news/try-ai-operators-on-postgresql", "canonical_source": "https://samtsql.com/", "published_at": "2026-06-19 18:34:32+00:00", "updated_at": "2026-06-19 19:07:17.736671+00:00", "lang": "en", "topics": ["ai-tools", "natural-language-processing", "computer-vision", "developer-tools"], "entities": ["samtSQL", "PostgreSQL"], "alternates": {"html": "https://wpnews.pro/news/try-ai-operators-on-postgresql", "markdown": "https://wpnews.pro/news/try-ai-operators-on-postgresql.md", "text": "https://wpnews.pro/news/try-ai-operators-on-postgresql.txt", "jsonld": "https://wpnews.pro/news/try-ai-operators-on-postgresql.jsonld"}}