What AI says about PostgreSQL
PostgreSQL is an open-source object-relational database system that supports vector search through extensions like pgvector. It is regularly recommended for building applications that require hybrid search, on-premise deployment, and combining relational data with vector embeddings.
AI calls itopen-source,postgresql,gold standard,reliable,standard,acid-compliant
Since Jul 5Updated Nov 10, 2026Based on 24,012 AI answers
Reviewed by Dimitry Apollonsky
Mentioned in · Public index
8%
of AI answers about PostgreSQL and its rivals · since Jul 5
Based on 24,012 AI answers
- ChatGPT10%
- Google AI Mode6%
How often AI mentions PostgreSQL
of AI answers about PostgreSQL and its rivals
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Sep 14OctNov 2
- · ChatGPT switched to GPT-6 Luna
Markets where AI mentions PostgreSQL
Mentioned inLowHighFew answers
All marketsChatGPTGoogle AI Mode
- Developer Backend & Vector Search ServicesChatGPTGoogle AI Mode
- Database Migration and Schema Management ToolsChatGPTGoogle AI Mode
- Vector Database PlatformsChatGPTGoogle AI Mode
- Maps, Navigation & Location APIsChatGPTGoogle AI Mode
- Database DevOps and Monitoring ToolsChatGPTGoogle AI Mode
- No-Code and Low-Code App PlatformsChatGPT
- LLM Agent Frameworks and ToolingChatGPT
- LLM Fine-Tuning and Hosting PlatformsChatGPT
- HIPAA-Compliant Healthcare Software PlatformsChatGPT
- Fleet Dispatch and Safety SoftwareOutside both engines’ top 25
- Data Engineering & Cloud Modernization ToolsOutside both engines’ top 25
- Product Search and Discovery PlatformsOutside both engines’ top 25
Topics where AI mentions PostgreSQL
TopicMentioned in · on this topicRank
- Intermediate software courses
- Multi-brand CRM management
- High-performance API development
- Self-hosted open-source vector database
- AI query optimization tool for data warehouses
- App development company for startup MVPs
- Agent memory integration
- Time-filtered vector analysis
- Custom map tile generation
- Self-hosted open source vector database
- Multimodal vector search
- Access-controlled semantic search
- High-throughput vector search
- Multi-tenant vector isolation
- Third-party AI algorithm integration
- Conversational AI chatbot development
- Mobile app backend platform
- High-concurrency dashboard analytics
- Vector databases with metadata filtering
- Supervised AI tutoring
- Scalable unstructured data processing for legacy file servers
- Web research agent frameworks
- Betting strategy backtesting
- Hybrid vector and keyword search
- File upload API and storage service
- ML experiment tracking tools
- Local development prototyping
- Free community-driven map data
- DevOps agent framework for self-healing systems
- Zero-downtime database migration
- Conversational AI agent framework
- Backend as a service with vector search
- Vector database live re-indexing
- Scalable URL shortener API with custom domains
- Low-latency enterprise RAG
- RAG pipeline development platform
- IoT time-series data storage and management
- Time-series historian for pipeline data
- AI for relational test data generation
- Containerized development environment
- Hosted embeddings with tenant isolation
- Multi-step stateful task management
- Budget API for real-time odds data for data scientists
- Self-hosted open-source RAG framework
- Backend-as-a-service platforms
- Monitoring platforms with generous custom automation API access
- Chat summary software for product feedback
- Mobile game backend services
- Self-hosted open-source LLM management platform
- Least-cost payment routing
- Crypto trading bot platforms
- Managed embedding generation
- LMS training data migration
- Hybrid vector and keyword search
- Zoning and land use mapping software for urban planners
- Water utility analytics platforms for integrated data
- Visual search API with custom embedding support
- In-warehouse generative AI
- API-first AI customer support bot builder
- HIPAA compliant low-code platforms for healthcare tools
- Email list cleaning
- Budget-friendly sso
- Vector-based recommendation AI for conversion
- GIS software for civil engineers
- Managed vector databases for production RAG
- Model registry for small teams
- Local LLM hosting and management
- Image similarity search APIs
- Enterprise form workflows with logic and payments
- Contract software developers for non-technical founders
- Accurate mapping with reliable sourcing
- Dynamic tool discovery
- Human-in-the-loop Python orchestration libraries
- LLM integration into existing applications
- Ad attribution and tracking
- Document parsing for LLM pipelines
- Budget geolocation apis
- Interpretable maintenance models
- Disaster relief volunteer coordination
- No-code document data extraction
- Automated data pipeline generation
- Livestock ear tag sensors
- Historical blockchain data indexing
- HIPAA-compliant LLM deployment
- Live sports streaming integration
- Fast globally distributed serverless database
- Crypto analytics platforms for low-latency feeds and APIs
- Brand impersonation and phishing protection
- Human-in-the-loop task orchestration
- Web scraping project management tools
- Banquet order management system
- Zero-retention RAG platform for trade secrets
- Utility gis for asset digitization
- Identity graph platforms
- Forest management planning
- Open-source API gateway for internal LLM rate limiting and caching
- Open-source monitoring tools
- Financial audit software for tax auditors
- API-first satellite analytics providers for geospatial dashboards
- Dashboard and data visualization tools
- Legacy code modernization
- No-code and low-code AI agent building
- Production-grade NLP inference API platform
- Cloud data warehouse
- Developer forum platforms
- Batch and real-time feature store
- AI agent orchestration with API integration
- Self-hosted whiteboard access
- Custom report data pipelines
- Embedded analytics for SaaS products
- Multi-agent orchestration
- Reverse ETL data sync
- Consolidated reporting software for multi-entity businesses
- Database forensic examination services
- Default-secure cloud infrastructure for startups
- Automated decision capture
- On-chain analytics platforms with SQL access
- Marketing dashboard platforms with data warehouse connectivity
- Internal knowledge Q&A and search
- Offline field data collection
- Custom L2 rollup deployment
- Career change certifications
- Maps and geolocation APIs
- Managed embedding APIs
- CRM for startups planning exit
- Fully managed database hosting
- LLM knowledge graph databases
- RAG document reranking
- CEA farm management
- Audit and fraud data analytics
- Digital claims payouts
- Tabular data synthesis
- Cloud development environments
- API monetization
- Semantic product search
- Trading card price data APIs
- Enterprise RAG and fine-tuning
- Data science training programs
- Cloud server rental
- Alternative investment platforms for art or wine
- HIPAA-compliant cloud infrastructure
- Sports bet tracking apps
- Real-time edge analytics
- MES with operator touch screens
- Sentiment and topic analysis APIs
- PII redaction for LLM pipelines
- Data analyst training programs
- NPS and customer satisfaction surveys
QuestionAI picks mostMentioned in
- what is the best database?on this questionAI picks Mongodb and 2 more about as oftenMentioned in 100%
- For a startup adding embeddings search, which vector store is cheapest to run?on this questionAI picks pgvector and 1 more about as oftenMentioned in 48%
- I need a database that is ACID compliant but does not require a schema.on this questionAI picks Mongodb mostMentioned in 52%
- Best meeting notes + decision log engineers will use?on this questionAI picks Notion mostMentioned in 29%
PostgreSQL in AI answers
1 of 8
I want to run a vector database on-premise for data privacy. What is the best open-source vector database that is easy to deploy and scale?
ChatGPTChatGPT· Nov 5, 2026
PostgreSQL + pgvector – Best if you already use PostgreSQL and want to minimize infrastructure complexity.
Google AI ModeGoogle AI Mode· Oct 22, 2026
An extension that turns your standard, trusted PostgreSQL database into a vector database.
Sites AI cites
- 8%
- Which database do you recommend for read heavy applications (opens in a new tab) · 2%
- Which Database do you use or recommend the most? - Reddit (opens in a new tab) · 1%
- So how do you really pick a database for a new project ? : r/webdev (opens in a new tab) · 1%
- What data warehouse to pick?! : r/dataengineering (opens in a new tab) · 1%
- What database is good for a beginner? (opens in a new tab) · 1%
- I asked "PostgreSQL user here—what database is everyone else using?" Here's what people said. (opens in a new tab) · <1%
- Best choice for multi-model (relational + graph) database? : r/Database (opens in a new tab) · <1%
- Best Vector DB for production ready RAG ? (opens in a new tab) · <1%
- What are some popular database options for building a web ... (opens in a new tab) · <1%
- What made you choose your current database? (opens in a new tab) · <1%
- 5%
- Picking the right Database for your Project (Avoid Common Mistakes!) (opens in a new tab) · 2%
- Picking the right Database for your Project (Avoid Common Mistakes!) (opens in a new tab) · 1%
- What database should you use? (opens in a new tab) · <1%
- Vector Database Explained for AI Agents & RAG Systems (opens in a new tab) · <1%
- The Best AI Tools for Developers in 2026 (That I Actually Use) (opens in a new tab) · <1%
- PostgreSQL vs MySQL: Which SQL Database Should You Choose? | Uplatz (opens in a new tab) · <1%
- Neon Database Explained: Why Databricks Paid $1 Billion (opens in a new tab) · <1%
- From Zero to AI Hero with HPE Private Cloud and Storage Solutions - YouTube (opens in a new tab) · <1%
- Flavors of PostgreSQL®: Choosing the Right Database for ... (opens in a new tab) · <1%
- Vector Search for Cassandra Operators (opens in a new tab) · <1%
- Lists PostgreSQL on 2 of 4 pages4%
- Best open source vector database solutions: Top 8 in 2026 (opens in a new tab) · 1%Lists PostgreSQL
- Top 10 open source databases: Detailed feature comparison (opens in a new tab) · 1%
- Use Your Data in LLMs With the Vector Database You Already Have: The New Stack (opens in a new tab) · <1%
- Best managed open source databases for enterprise: Top 5 in 2025 (opens in a new tab) · <1%
- Best open source vector database software: Top 10 in 2026 (opens in a new tab) · <1%Leaves PostgreSQL out
- pgvector Hybrid Search: Benefits, Use Cases & Quick Tutorial (opens in a new tab) · <1%Leaves PostgreSQL out
- What Is a Vector Database? Top 10 Open Source Options (opens in a new tab) · <1%Lists PostgreSQL
- Lists PostgreSQL on 1 of 2 pages3%
- Medium (opens in a new tab) · 1%Lists PostgreSQL
- Vector Databases Explained: The Missing Piece in Your AI Stack (opens in a new tab) · <1%
- Oracle AI Vector Search: Querying Vectors and Optimizing with Indexes (opens in a new tab) · <1%
- PostgreSQL + pgvector: Bringing AI Embeddings to Your Database | by M. Ali Khan | Medium (opens in a new tab) · <1%
- Semantic Search and Information Retrieval with Transformers | by Rick Hightower (opens in a new tab) · <1%
- JSONB in PostgreSQL: The Fast Lane to Flexible Data Modeling (opens in a new tab) · <1%
- Medium (opens in a new tab) · <1%Leaves PostgreSQL out
- 15 PostgreSQL Extensions You Should Know in 2026 (opens in a new tab) · <1%
- Full-Stack Development Tools: Essential Resources for 2025 | by Emily Smith | Medium (opens in a new tab) · <1%
- Vector Databases: Taking Data Revolution to The Next Level (opens in a new tab) · <1%
- Your site3%
- PostgreSQL: The world's most advanced open source database (opens in a new tab) · 2%Lists PostgreSQL
- PostgreSQL: About (opens in a new tab) · <1%Leaves PostgreSQL out
- PostgreSQL: Documentation: 16: 8.14. JSON Types (opens in a new tab) · <1%
- PostgreSQL: Documentation: 18: 36.1. How Extensibility Works (opens in a new tab) · <1%
- PostgreSQL: Documentation: 18: 9.16. JSON Functions and Operators (opens in a new tab) · <1%
- Leaves PostgreSQL out3%
- My hands-on experience with Qdrant and Docling (and Ollama) (opens in a new tab) · <1%
- Backend Basics for Frontend Engineers: Dive into SQL and APIs with NodeJS, Prisma, and PostgreSQL (opens in a new tab) · <1%
- AWS Vector Databases – Part 2: Search, Filtering, and Chunking (opens in a new tab) · <1%
- The top 15 developer productivity tools in 2026 - DEV Community (opens in a new tab) · <1%Leaves PostgreSQL out
- Navigating Database Trends: NoSQL, PostgreSQL, & Beyond for Modern Data (opens in a new tab) · <1%
- The Modern Backend Stack Explained (opens in a new tab) · <1%
- Vector Databases Guide: RAG Applications 2025 - DEV Community (opens in a new tab) · <1%
- How to Choose the Ideal Database for Your App: Prototypes, App at Scale, and Event-Driven App - DEV Community (opens in a new tab) · <1%
- Everything you need to know about NoSQL databases (opens in a new tab) · <1%
- Building AI-Powered Search for Your App: Vector Search, Hybrid Search ... (opens in a new tab) · <1%
- 2%
- Postgres: Most Admired Database 2023 | EDB (opens in a new tab) · 1%
- Discover Why Developers Love Postgres | EDB (opens in a new tab) · <1%
- Postgres Database Providers: A Comparative Analysis | EnterpriseDB (opens in a new tab) · <1%
- How Postgres with pgvector Powers AI Use Cases | EDB (opens in a new tab) · <1%
- Securing Open Source Software with EDB Postgres AI (opens in a new tab) · <1%
