Postgres · Artificial intelligence

What AI says about Postgres in Artificial intelligence

186 mentions · 182 prompts · last seen Oct 11, 2026

Prompts in this category

I'm building a high-volume document system and need OCR that scales
Artificial Intelligence / Computer Vision1 observationUpdated Oct 11, 2026

Brands:Google Document,Vision Ocr,Aws Textract,Azure Document Intelligence,Tesseract

I'm building a fine-tuned LLM service and need help choosing the deployment stack
Artificial Intelligence / AI Infrastructure1 observationUpdated Oct 10, 2026

Brands:OpenAI,Anthropic,Azure Openai,Bedrock,Vertex

I'm building an internal AI tool and need a simple model hosting setup
Artificial Intelligence / AI Infrastructure1 observationUpdated Oct 10, 2026

Brands:Vllm,Tgi,Text Generation Inference,Ollama,Lm Studio

I'm building a multi-tenant AI API, what model hosting stack should I choose?
Artificial Intelligence / AI Infrastructure1 observationUpdated Oct 10, 2026

Brands:Vllm,Kubernetes,S3,Gcs,Hugging Face

How do I track token usage and spend across multiple AI apps?
Artificial Intelligence / AI Infrastructure1 observationUpdated Oct 10, 2026

Brands:OpenAI,Anthropic,Postgres,Bigquery,Snowflake

best way to index text embeddings with metadata filters
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Qdrant,Milvus,Elasticsearch

What is the best way to store and query embeddings for a chatbot knowledge base?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Qdrant,Milvus,Postgres

What vector database should I use for semantic search with filters?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Qdrant,Postgres,Pgvector

I’m trying to build semantic search over product docs and need a practical plan for chunking, indexing, and re-embedding over time
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Pgvector

How do I add semantic search to an existing app without rebuilding my whole stack?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Elasticsearch,Opensearch,Pinecone,Weaviate

I need advice on whether to use embeddings, full-text search, or both for a support knowledge base with multilingual content and strict lat…
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch,Postgres,Pinecone,Weaviate

what is the best way to search embeddings with metadata
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Elasticsearch

Do I need a vector database or can I use a normal database?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Mysql,Sqlite,Elasticsearch,Opensearch

I’m unhappy with Weaviate setup complexity
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Weaviate,Pinecone,Qdrant Cloud,Weaviate Cloud,Postgres

I’m unhappy with Milvus operations overhead
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Milvus,Zilliz Cloud,Pinecone,Weaviate Cloud,Qdrant Cloud

need to store and query embeddings with tenant permissions
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Pgvector,Pinecone,Weaviate,Qdrant

need vector search with low latency and frequent updates
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch,Pinecone,Qdrant,Milvus

what should I use for embeddings if I need cross-tenant isolation?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Qdrant,Postgres,Pgvector

what should I use for a managed vector database vs self-hosted?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Pgvector,Opensearch,Elasticsearch,Pinecone

what should I use for low-latency vector search with filters?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Qdrant,Weaviate,Milvus,Postgres

what vector database should I use for embeddings and metadata filtering?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Pgvector,Pinecone,Weaviate,Qdrant

I’m building an app with tenant-level filtering on vector search
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Pgvector,Pinecone,Qdrant,Weaviate

I’m building image similarity search and need an embeddings stack that scales
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Clip,Openclip,Dinov2,Siglip,Faiss

I’m building a document search app and need recommendations on embeddings models and vector storage
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Pinecone,Weaviate,Qdrant,Postgres

I need an embeddings pipeline for RAG over PDFs, including chunking and re-embedding
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Tesseract,Aws Textract,Azure Form Recognizer,Google Document,OpenAI

Recommend the best way to generate and store embeddings for text and images at scale
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Cohere,S3,Gcs,Azure Blob

Help me choose a vector database for embeddings with metadata filtering and frequent updates
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Pgvector,Qdrant,Milvus,Pinecone

Milvus is too hard to operate for embeddings
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Milvus,Pgvector,Postgres,Qdrant,Weaviate

I’m frustrated with Pinecone vector search costs
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Pgvector,Postgres,Qdrant,Weaviate

Do I need to store embeddings in the same DB as my app data?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,MongoDB,Pinecone

Do I need a vector database for semantic search?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Sqlite,Opensearch,Elasticsearch,Mongodb Atlas Vector Search

I'm building an internal knowledge base search and want the simplest embedding stack
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:OpenAI,Faiss,Postgres,Pgvector,Sqlite

How do I build a multimodal embedding pipeline for text and images?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Openclip,Siglip,Florence 2,Faiss,Milvus

I'm building a private support bot over tickets and Confluence pages. What stack makes sense?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Confluence,Jira Service Management,Zendesk,Freshdesk,Sqs

How do I search across structured database rows and unstructured documents in one assistant?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Postgres,Snowflake,Bigquery,Pgvector,Pinecone

I'm trying to prototype a private Q&A app for our company docs. What's the fastest stack to start with?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Next Js,Clerk,Auth Js,Llamaindex,Langchain

I'm trying to support PDFs, Excel files, wiki pages, and Slack messages in one chatbot. How should I index them?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Elastic,Postgres

Should I use Azure AI Search for private document Q&A?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Azure Ai Search,Azure,Office,Sharepoint,Blob Storage

What should I use for low-latency retrieval in a production copilot?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Qdrant Cloud,Elastic,Opensearch

Do I need a vector database for internal document search?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch,Postgres,Sqlite,Pinecone

What should I use to search PDFs, emails, and wiki pages with RAG?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch,Azure Ai Search,Weaviate,Pinecone

What should I use for hybrid search over structured and unstructured data?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch,Azure Ai Search,Meilisearch,Typesense

I'm building a copilot over emails, docs, and database tables. How should I connect all the sources?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Gmail,Outlook,Sharepoint,Drive,Notion

I'm building a private AI assistant over our company files. What should I use for indexing and search?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:S3,Gcs,Azure Blob,Postgres,Pgvector

How do I combine keyword search and vector search for internal docs?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch,Postgres,Pgvector,Vespa

How do I connect an LLM to our internal docs so it answers from our data instead of guessing?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Confluence,Notion,Google Docs,Sharepoint,Pinecone

We need a chatbot that only answers from approved internal sources. What should I use for retrieval, indexing, and access control?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Elasticsearch,Opensearch,Pinecone,Weaviate,Milvus

Weaviate alternatives for RAG over internal data
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Weaviate,Pinecone,Milvus,Zilliz Cloud,Qdrant

Do I need Pinecone for a chatbot over our docs?
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Postgres,Pgvector,Sqlite,Faiss

Need RAG with document permissions
Artificial Intelligence / AI Search1 observationUpdated Oct 10, 2026

Brands:Pinecone,Weaviate,Milvus,Opensearch,Elasticsearch

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How did Obsurfable measure this?

Obsurfable records AI answers to buyer-style prompts in its research corpus (186 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.