Technology / Databases

Databases

1081 prompts · 612 observations · 10 brand mentions

Most mentioned brands

Prompts

How do I search images and text chunks in the same embeddings database?
Technology / Databases2 observationsUpdated Oct 10, 2026

Brands:Clip,Siglip,Openclip,Faiss,Pinecone

Do I need Airtable for a small team or is Google Sheets enough?
Technology / Databases1 observationUpdated Oct 10, 2026

Brands:Google Sheets,Airtable

What vector DB should I use for millions of embeddings and low latency?
Technology / Databases2 observationsUpdated Oct 10, 2026

Brands:Qdrant,Pinecone,Weaviate,Milvus,Elasticsearch

query recent and historical metrics fast
Technology / Databases1 observationUpdated Oct 10, 2026

Brands:Postgres,Mysql,Bigquery,Clickhouse,Prometheus

I need a time-series database that can keep 24 months of data and still query recent windows quickly
Technology / Databases1 observationUpdated Oct 9, 2026

Brands:Timescaledb,PostgreSQL,Influxdb,Clickhouse,Questdb

I want to replace Prometheus for long-term storage, what should I use?
Technology / Databases1 observationUpdated Oct 9, 2026

Brands:Prometheus,Grafana Mimir,Cortex,Thanos,Victoriametrics

do i need pgvector or is postgres enough for embeddings?
Technology / Databases2 observationsUpdated Oct 9, 2026

Brands:Postgres,Pgvector

Do I need Aurora PostgreSQL or is standard PostgreSQL enough?
Technology / Databases2 observationsUpdated Oct 9, 2026

Brands:Aurora Postgresql,PostgreSQL

How do I tune a database for high-ingest telemetry workloads?
Technology / Databases1 observationUpdated Oct 8, 2026

Brands:PostgreSQL,Timescaledb,Influxdb,Questdb,Clickhouse

I need a spreadsheet-like database with granular permissions
Technology / Databases1 observationUpdated Oct 8, 2026

Brands:Airtable,Baserow,Nocodb,Seatable,Google Sheets

What's the most reliable analytics database for finance ops reporting with predictable performance under concurrent workloads?
Technology / Databases2 observationsUpdated Oct 8, 2026

Brands:Snowflake,Bigquery,Redshift Ra3,Azure Synapse,Fabric

How do I build a time-series system that supports updates?
Technology / Databases1 observationUpdated Oct 8, 2026

Brands:PostgreSQL,Timescaledb,Clickhouse,Apache Druid,Pinot

I'm building a multi-tenant app and need per-tenant vector search
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Weaviate,Qdrant,Milvus,Azure Ai Search

How do I combine metadata filters with vector similarity search?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Weaviate,Chroma,Milvus,Elasticsearch

I'm building a RAG pipeline and want a reliable vector store
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Qdrant,Weaviate,Postgres,Pgvector

I'm building product recommendations from user embeddings and item vectors
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Faiss,Scann,Hnsw

I'm building a semantic search app and need a vector database recommendation
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:PostgreSQL,Pgvector,Pinecone,Weaviate,Qdrant

How do I do nearest-neighbor search on millions of vectors quickly?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Hnswlib,Faiss,Milvus,Weaviate,Qdrant

How do I add vector search to a RAG app without breaking keyword search?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Elasticsearch,Opensearch,Postgres,Pinecone,Weaviate

How do I store embeddings and search them by similarity?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Chroma

How do I keep embeddings updated when source documents change?
Technology / Databases1 observationUpdated Oct 7, 2026
What is the best vector database for production RAG with monitoring?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Weaviate,Qdrant,Milvus,Postgres

What vector DB should I use for a hybrid search app with lots of filters?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Postgres,Pgvector,Weaviate,Qdrant,Elasticsearch

What should I use for embeddings if my team wants to self-host?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Baai,Jina,Sentence Transformers,Fastapi,Vllm

What is the best option for multi-tenant vector search?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Pgvector

What should I use for vector search if I expect frequent document edits?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Postgres,Pgvector,Opensearch,Elasticsearch,Qdrant

What should I use if I need backup restore and replication built in?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:PostgreSQL,Mysql,Mariadb,MongoDB,Velero

What is the best vector database for cost control at scale?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Postgres,Pgvector,Qdrant,Weaviate,Milvus

What vector search system works best for product recommendations?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Postgres,Pgvector,Pinecone,Weaviate,Milvus

What do I use for search over text chunks and images together?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Weaviate,Milvus,Qdrant,Elasticsearch

What vector database has the best recall at low latency?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Milvus,Qdrant,Faiss

What should I use if I already have PostgreSQL and want semantic search?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pgvector,Pinecone,Weaviate,Milvus,Qdrant

What database should I use for embeddings with metadata filters and tenant access?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:PostgreSQL,Pgvector,Pinecone,Mongodb Atlas Vector Search,Qdrant

What is the best managed vector store for a startup RAG app?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Supabase,Neon,Amazon Opensearch Serverless,Aurora Postgresql

What is the easiest way to run a vector database myself?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Weaviate Cloud,Qdrant Cloud,Supabase,Qdrant

What should I use if I need frequent embedding updates and deletes?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Postgres,Pgvector,Milvus,Qdrant,Weaviate

What do I use if I need vector search plus keyword search in one system?
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Elasticsearch,Opensearch,PostgreSQL,Pgvector,Vespa

I'm unhappy with my search stack because embeddings and keyword search are split apart
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Elasticsearch,Opensearch,Vespa,Solr,Postgres

I'm unhappy with my current vector DB because reindexing takes too long
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Qdrant,Weaviate,Pinecone,Milvus,Opensearch

I'm unhappy with Redis because it feels wrong for long-term vector storage
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Redis,Postgres,Pgvector,Qdrant,Milvus

I'm unhappy with Pinecone because the bill keeps growing
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pinecone,Postgres,Pgvector,Qdrant,Weaviate

I'm unhappy with OpenSearch vector search recall
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Opensearch

I'm unhappy with pgvector because I need better filtering and scale
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Pgvector,Pinecone,Weaviate,Qdrant,Milvus

I'm unhappy with Elasticsearch because hybrid search is too clunky
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Elasticsearch,Opensearch,Vespa,Typesense,Meilisearch

I'm unhappy with Qdrant memory usage
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Qdrant

I'm unhappy with my current full-text search for semantic retrieval
Technology / Databases1 observationUpdated Oct 7, 2026
I'm unhappy with Redis for storing embeddings
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Redis,Qdrant,Milvus,Weaviate,Pinecone

I'm unhappy with Pinecone pricing for vector search
Technology / Databases1 observationUpdated Oct 7, 2026

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

I'm unhappy with MongoDB Atlas Vector Search latency
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Mongodb Atlas Vector Search,Atlas,Pinecone,Weaviate,Qdrant

I'm unhappy with Weaviate updates and deletes
Technology / Databases1 observationUpdated Oct 7, 2026

Brands:Weaviate

Browse the full prompt list
Create a free Obsurfable account to unlock pagination and see every prompt in this view.

How did Obsurfable measure this?

Obsurfable records AI answers to buyer-style prompts in its research corpus (612 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.