Top Tweets for #Pgvector
Day 36: Expert pgvector Indexing
Re-architected my Go RAG pipeline's storage! Decoupled HNSW graph builds, tuned topology (m=24) & injected dynamic ef_search. 38x faster P99 latency
#GoLang #SoftwareArchitecture #SystemDesign #DistributedSystems #BackendEngineering #pgvector
DFW PostgreSQL Meetup | Plano, TX
Kalyani M attended #DFWPostgreSQLMeetup featuring โScaling #pgvector AI Workloads with YugabyteDBโ by Daniel M. Farrell. Thanks to the organizers for growing the #PostgreSQL community!
Find the full LinkedIn post here: https://t.co/eicG0Kg64h
Trainer Spotlight at #HyderabadPGDays2026
Sivasankar Prasad from OpenSource DB will lead a half-day workshop:
Building Autonomous #AI Ecosystems with #PostgreSQL: From #pgvector to Distributed MLOps
#RAG #AI #opensource #Spotlight
In @MSFTforPostgres on @Azure, you can index your embeddings with #pgvector or #DiskANN. I compared and explored DiskANN pre-filtering and cost-based optimization in a new blog post: https://t.co/XJcFfpmnOM
@ShlomiArdan @yanir_dvir ืืืกืคืชื ืืช "ืฉืื ืืช ืฉืืืื", AI ืฉืขืื ื ืขื ืฉืืืืช ืืืื ืื ืืืช ืืฉืจืืืืืช ืืืฉืงืืข ืขืจื ๐ฎ๐ฑ. ืืืืกืก ืขื 1,500+ ืกืงืืจืืช ืืืืชืืืช ืืืืืื ืฉื @shlomiardan ืืื ืืชืืืื ืืืขืืืื ืฉืืื ืืฆืืืชื ืขืฉื.
ืืชืืช ืืืืกื ืืื ืืข: #RAG + #Gemini + #pgvector
https://t.co/Po8KUzKyeg
ืืืกืคืชื ืืช "ืฉืื ืืช ืฉืืืื", AI ืฉืขืื ื ืขื ืฉืืืืช ืืืื ืื ืืืช ืืฉืจืืืืืช ืืืฉืงืืข ืขืจื ๐ฎ๐ฑ. ืืืืกืก ืขื 1,500+ ืกืงืืจืืช ืืืืชืืืช ืืืืืื ืฉื @shlomiardan ืืื ืืชืืืื ืืืขืืืื ืฉืืื ืืฆืืืชื ืขืฉื.
ืืชืืช ืืืืกื ืืื ืืข: #RAG + #Gemini + #pgvector
https://t.co/tbdh9TFfot
ืืฉืืง ืขื #Supabase ืืื ืขื #Vercel. ืืขืงื ื ืื ืืืจื ืกืงืืจืช ืืื ืืืช ืืฉื ืชืืช ืฉื @ShlomiArdan ื-@yanir_dvir ืฉืคืืชืืชื ืืขืฆืื (ืจืฆืืชื ืืื ื ืื ืขื ืืืจื ืืื ืืื ืืฉื ืื). ืืื ืืชื ืื ืืคื, ืืืื ืืืงืฆืื, DB ืืืดื. ืืืฃ ๐
https://t.co/tbdh9TFfot
Deploy a full-stack #Mastra AI agent to #AWS from your browser with #Defang, including #Postgres/#pgvector, #Redis queues, #embeddings, and managed #LLM services.
In this demo, Raph walks through the Mastra Extended sample: a multi-service AI app built with Mastra, Next.js, PostgreSQL with pgvector, Redis, and #BullMQ. The app generates sample tasks and events, classifies them with an LLM, stores vector embeddings for semantic search, and lets a Mastra-powered chat agent answer questions using tool calls.
With Defang, the same #Docker Compose-based app can be deployed to your own cloud account without manually wiring up #ECS, #RDS, #ElastiCache, inference services, networking, or deployment automation.
๐ ยฟTu benchmark de pgvector te estรก mintiendo? Descubre por quรฉ.
https://t.co/6rCpikr6L7
#PostgreSQL #pgvector #VectorEmbeddings #Benchmark
โผ #PostgreSQL: rilasciati aggiornamenti di sicurezza per risolvere una vulnerabilitร con gravitร โaltaโ nella libreria #pgvector
Rischio: ๐ก
Tipologia:
๐ธ Denial of Service
๐ธ Information Disclosure
๐ https://t.co/OhI6bFCmgD
๐ Aggiornamenti disponibili ๐
ใชใผ๏ฟฝ๏ฟฝ๏ฟฝใณใฝใผในใซใณใใกใฌใณใน #osc26tk ใง #PostgreSQL ใฎๅบๅฑไธญ
ๅ็คพ่ณๆใฎๅฑ็คบ๏ผ้
ๅธใ#pgvector ใจใ #PostGIS ใฎใใขใใฃใฆใพใใ๐ง ๐๐
#JPUG
Whether you run @Redisinc, @elastic Search, @MongoDB, #PGVector, Qdrant, the problem is identical: You are burning massive @AWSArchitecture EC2 capacity just to keep indexes alive. โScale, Speed, Accuracy, ROI. At the 1M+ document mark, the standard stack forces you to pick ONE.
Thanks to the #pgvector PostgreSQL extension, #YugabyteDB functions as a highly performant vector database. Its scalability allows it to store and search billions of vectors.๐ช
In the first part of this blog, we explain why a #vector database is essential to #agenticAI and how #YugabyteDB meets key requirements for global organizations, including data sovereignty and zero-downtime.๐ก
The second part includes a video demo and detailed instructions on how you can easily leverage this technology to provide #AI with your organizationโs information using @n8n_io, a #nocode orchestration tool.๐
Check it out!โฌ๏ธ
https://t.co/OSi9ytQCi2
Implementing Semantic Search With Sequel and Pgvector - Custom AI Solutions (from 06/06/2025) #ruby #rubyonrails #programming #Implementing #Semantic #Search #Sequel #Pgvector #Custom #Solutions #ai #search https://t.co/E9HOVL2QIM
Building Smart Support: AI-Driven Customer Service with Java and Quarkus
Harness the power of LangChain4j, Ollama, and pgvector to create a reactive, intelligent support system.
https://t.co/3tN6uLeCMr
#Java #Quarkus #LangChain4j #pgvector
Build an AI-Powered Document Assistant with Quarkus and LangChain4j
From Docs to Insightful Answers in Milliseconds
https://t.co/4tsqxJyYma
#Java #LangChain4j #Quarkus #RAG #pgVector
From Scripture to Semantic Search: Build an AI-Powered Bible Explorer with Quarkus
Turn centuries of translations into a live NLP playground using Langchain4j, pgvector, and lean Java code.
https://t.co/gEqZg0WpyF
#Java #Quarkus #PGVector #Postgresql #NLP
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