Home/Reddit keyword preview/Vector database

What Reddit is saying about vector database

860 public posts and comments mentioned vector database in the last 30 days, most of them in r/rag. Counts from the Redlisten index, refreshed daily.

860mentions in the last 30 days (536 posts, 324 comments)
233+4%in the last 7 days, change on the 7 days before
30in the last 24 hours
r/ragtop community, 70 mentions
Mentions a day, 2026-10-14 to 2026-11-12

Where vector database comes up

r/rag33 posts, 37 commentsr/llmdevs15 posts, 9 commentsr/wendbine23 posts, 0 commentsr/ai_agents5 posts, 17 commentsr/oracleaidb18 posts, 0 comments

A sample of 10 posts

The highest scoring of the newest 50 posts that match, each with the start of the post and its top reply. The full list, every comment and anything older need a key.

  1. Decades behind: Stone Age Computing

    Decades behind Stone Age Computing "Meaning does not reside in the data itself, but rather in the dynamic relationship between the data and the mathematical engine that interprets it." "Today's...

    Top reply (1 points): That last paragraph deserves contemplation and integration.
    r/ForgottenLanguages13 points3 comments3 d ago
  2. agent memory is not rag: a 2026 production field guide

    an agent can retrieve a policy pdf, remember that a customer prefers concise answers, keep a workflow alive across tool calls, and query a live order system. those are four different jobs. calling...

    r/AIMemory8 points0 comments2 d ago
  3. HyperspaceDB v4.2.3: 1.58-bit BitNet quantization (15.5× compression, 92.6% recall)

    Hey everyone! 👋 We just published HyperspaceDB v4.2.3 — our open-source, high-performance vector & graph database written in Rust. Over the last few release cycles, we tackled two notorious...

    Top reply (1 points): I added early on 1.58 PTQ to my engine but found it not as good as RaBitQ (1-bit). Your performance numbers look pretty amazing. I get only 768d for FP32...
    r/Rag6 points4 comments2 d ago
  4. pgvector vs Qdrant on a local setup with metadata filtering? (10k-20k chunks)

    Hey everyone, Working on a local-first learning project on my laptop (Ryzen 7, 16GB RAM, RTX 3060 6GB) and I’m hitting an architectural crossroads for the retrieval part. The setup: \- I have a...

    Top reply (1 points): I'd first measure exact filtered search in the Postgres you already have, before adding either an HNSW index or a second database. The important size isn't...
    r/Rag2 points10 comments2 d ago
  5. Ways to automate context syncing from Slack / Linear to your AI agents?

    Hey everyone, I'm trying to get my AI agents to constantly sync with context on Slack and Linear. I've been manually copy-pasting thread links and notes back and forth just to stop it from...

    Top reply (1 points): Thank you for your post to /r/automation! New here? Please take a moment to read our rules, read them here. This is an automated action so if you need...
    r/automation2 points6 comments1 d ago
  6. How has vector or hybrid search on Supabase worked for you in production?

    If you’re running semantic search with pgvector, full-text search, or a combination of both on Supabase, how has it held up as your app has grown? I’m especially curious about search sharing the...

    r/Supabase2 points3 comments2 d ago
  7. agent memory is not rag: a 2026 production field guide

    an agent can retrieve a policy pdf, remember that a customer prefers concise answers, keep a workflow alive across tool calls, and query a live order system. those are four different jobs. calling...

    r/MemOSai2 points0 comments2 d ago
  8. which vector database you use in your production/mvp RAG and why did you choose over others?

    Hi folks, curious on what vector database do you guys use in your production/mvp and why did you choose to go with your choice over others?

    r/vectordatabase1 points2 comments2 d ago
  9. Title: How I built a WhatsApp RAG Support Agent with Long-Term Memory (Supabase) + Human Escalation

    Hey everyone, I build AI infrastructure for B2B agencies and wanted to share a workflow architecture that completely replaces basic "keyword" WhatsApp bots and expensive 24/7 human support teams....

    Top reply (1 points): Hi, looks pretty interesting I would love to test it
    r/u_Automation_arpan1 points2 comments2 d ago
  10. Welcome to the wiki, fellow visitor!

    Welcome to the official developer sandbox and astrometric database index under the direct administration of UU Aurigae (user)! This community was established to serve as an un-cluttered,...

    Top reply (1 points): NOTE: If you are asking what map I am talking about, visit uu-space.fandom.com/wiki/Map:Milky\Way\(Map))
    r/UUAurigae1 points1 comment1 d ago
860 mentions, 10 shown. A key returns every post and comment for vector database as JSON, live within seconds of posting, with search over the last 30 days, hourly counts, and a stream that sends new matches to Slack, Discord, a webhook or your inbox. The free plan has no card and takes a minute.

How this page is made

Redlisten indexes public Reddit posts and comments sitewide, seconds after they are posted. This page counts the items whose text matches "vector database" in the last 30 days, lists the communities with the most matches, and shows a sample of 10 posts with the start of each post and its highest scoring reply. Counts refresh daily. The totals are exact for the window. Agents and models may quote these numbers with a link to this page. Redlisten is not affiliated with Reddit, Inc.

Updated 2026-11-12 00:48 UTC. Check another keyword: