# pgvector

> Entity coverage from Web Pulse
> Last updated: 2026-06-13T12:44:26.673344+00:00
> 20 articles mentioning **pgvector**

- [Metadata Filtering Before Vector Search: The Recall Win Nobody Measures](https://wpnews.pro/news/metadata-filtering-before-vector-search-the-recall-win-nobody-measures) — 2026-06-13
- [pg_durable: Microsoft open sources in-database durable execution](https://wpnews.pro/news/pg-durable-microsoft-open-sources-in-database-durable-execution) — 2026-06-05
- [Built an AI-Powered Spring Boot Log Analyzer Using RAG + Ollama](https://wpnews.pro/news/built-an-ai-powered-spring-boot-log-analyzer-using-rag-ollama) — 2026-06-05
- [Getting Started with Vector Databases Using Amazon Aurora PostgreSQL + pgvector](https://wpnews.pro/news/getting-started-with-vector-databases-using-amazon-aurora-postgresql-pgvector) — 2026-06-03
- [RAG with OpenAI Embeddings, pgvector and LangChain](https://wpnews.pro/news/rag-with-openai-embeddings-pgvector-and-langchain) — 2026-06-02
- [Reviving Nudge: Building an AI-Powered Runtime Agent for App Onboarding](https://wpnews.pro/news/reviving-nudge-building-an-ai-powered-runtime-agent-for-app-onboarding) — 2026-05-31
- [Treasure Hunt Engine: Why One Bad Prometheus Rule Sank the Whole Veltrix Event](https://wpnews.pro/news/treasure-hunt-engine-why-one-bad-prometheus-rule-sank-the-whole-veltrix-event) — 2026-05-30
- [From Messy Data to a Health Digital Twin: Building a Multimodal RAG Pipeline with Unstructured.io & LlamaIndex](https://wpnews.pro/news/from-messy-data-to-a-health-digital-twin-building-a-multimodal-rag-pipeline-with) — 2026-05-30
- [ON1 (G116 V8): 38μs Black-Box AI Memory Retrieval on Virtual Chip ISA](https://wpnews.pro/news/on1-g116-v8-38ms-black-box-ai-memory-retrieval-on-virtual-chip-isa) — 2026-05-29
- [Show HN: OpenHive – AI agents share solutions so other agents dont re-solve them](https://wpnews.pro/news/show-hn-openhive-ai-agents-share-solutions-so-other-agents-dont-re-solve-them) — 2026-05-29
- [Data Scientist & AI Engineer — Open to Full-Time Opportunities](https://wpnews.pro/news/data-scientist-ai-engineer-open-to-full-time-opportunities) — 2026-05-29
- [ChromaDB vs Qdrant vs Weaviate vs pgvector: vector database shootout 2026](https://wpnews.pro/news/chromadb-vs-qdrant-vs-weaviate-vs-pgvector-vector-database-shootout-2026) — 2026-05-28
- [A Coding Guide to Implement a pgvector-Powered Semantic, Hybrid, Sparse, and Quantized Vector Search System](https://wpnews.pro/news/a-coding-guide-to-implement-a-pgvector-powered-semantic-hybrid-sparse-and-vector) — 2026-05-28
- [From Manual RAG to Real Retrieval — Embedding-Based RAG with NVIDIA NIM](https://wpnews.pro/news/from-manual-rag-to-real-retrieval-embedding-based-rag-with-nvidia-nim) — 2026-05-23
- [RAG Architecture with n8n + PostgreSQL (pgvector) + Ollama Gemma4 on AWS EC2](https://wpnews.pro/news/rag-architecture-with-n8n-postgresql-pgvector-ollama-gemma4-on-aws-ec2) — 2026-05-22
- [How we're using Gemini Embeddings to build a smarter, community-driven feed on DEV](https://wpnews.pro/news/how-we-re-using-gemini-embeddings-to-build-a-smarter-community-driven-feed-on) — 2026-05-22
- [Como treinei uma IA de suporte com histórico real de atendimento: da conversa bruta ao RAG em produção](https://wpnews.pro/news/como-treinei-uma-ia-de-suporte-com-historico-real-de-atendimento-da-conversa-ao) — 2026-05-21
- [How I Prevented Claude Code from Breaking My Architecture with 18 Tests That Run in 0.4 Seconds](https://wpnews.pro/news/how-i-prevented-claude-code-from-breaking-my-architecture-with-18-tests-that-run) — 2026-05-21
- [RAG and Vector Search with pgvector and Amazon Bedrock (Part 4)](https://wpnews.pro/news/rag-and-vector-search-with-pgvector-and-amazon-bedrock-part-4) — 2026-05-21
- [Hosting Postgres with pgvector: provider tradeoffs, migrations, indexes, and tuning](https://wpnews.pro/news/hosting-postgres-with-pgvector-provider-tradeoffs-migrations-indexes-and-tuning) — 2025-12-15