--- title: "#vector-database articles | Hashnode" description: "Explore 636 articles tagged #vector-database on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/vector-database" --- Tag # #vector-database 636 posts · 26 followers [Snehasish Roy](https://hashnode.com/@snehasishroy) · [2d ago](https://hashnode.com/posts/do-you-still-need-vector-db-in-2027/6af1925292300acdbc5981f1) ### [So, do you still need Vector DB in 2027?](https://snehasishroy.com/do-you-still-need-vector-db-in-2027?utm_source=hashnode&utm_medium=feed) It depends! 3 min read · [snehasishroy.com](https://snehasishroy.com/do-you-still-need-vector-db-in-2027?utm_source=hashnode&utm_medium=feed) [Praise James](https://hashnode.com/@thepraisejames) · [2d ago](https://hashnode.com/posts/how-we-did-entity-resolution-with-a-vector-db-and-argon/6af174a1d96f486c5ace9d0d) ### [How we did entity resolution with a vector DB and Argon](https://actiandev.hashnode.dev/how-we-did-entity-resolution-with-a-vector-db-and-argon?utm_source=hashnode&utm_medium=feed) A three-stage pipeline that blocks with VectorAI DB, settles clear pairs with a threshold, and pays an LLM only for the uncertain band. 18 min read · [actiandev.hashnode.dev](https://actiandev.hashnode.dev/how-we-did-entity-resolution-with-a-vector-db-and-argon?utm_source=hashnode&utm_medium=feed) [Beau Carnes](https://hashnode.com/@beaucarnes) · [Nov 3](https://hashnode.com/posts/learn-vector-databases-for-beginners-embeddings-similarity-search-chromadb/6aea06ca2d9e47407b2ddc76) ### [Learn Vector Databases for Beginners – Embeddings, Similarity Search & ChromaDB](https://freecodecamp.org/news/learn-vector-databases-for-beginners-embeddings-similarity-search-chromadb?utm_source=hashnode&utm_medium=feed) A vector database stores data as lists of numbers called embeddings, which lets it search by meaning instead of matching exact keywords. It's the piece behind a lot of recommendation systems, RAG apps 2 min read · [freecodecamp.org](https://freecodecamp.org/news/learn-vector-databases-for-beginners-embeddings-similarity-search-chromadb?utm_source=hashnode&utm_medium=feed) [Nagappan S](https://hashnode.com/@imkarthik03) · [Nov 2](https://hashnode.com/posts/why-how-you-split-documents-decides-your-rag-quality/6ae82a163bf65c4425103568) ### [Why How You Split Documents Decides Your RAG Quality](https://nagspidey.hashnode.dev/why-how-you-split-documents-decides-your-rag-quality?utm_source=hashnode&utm_medium=feed) Chunking in RAG 9 min read · [nagspidey.hashnode.dev](https://nagspidey.hashnode.dev/why-how-you-split-documents-decides-your-rag-quality?utm_source=hashnode&utm_medium=feed) [2](https://hashnode.com/posts/why-how-you-split-documents-decides-your-rag-quality/6ae82a163bf65c4425103568) [N Chandra Prakash Reddy](https://hashnode.com/@ChandraPrakash1996) · [Nov 2](https://hashnode.com/posts/beyond-keyword-search-building-multimodal-semantic-search-with-amazon-nova-embeddings-and-s3-vector/6ae83f03c45f3736c24e72cb) ### [Beyond Keyword Search: Building Multimodal Semantic Search with Amazon Nova Embeddings and S3 Vector](https://devopstour.hashnode.dev/beyond-keyword-search-building-multimodal-semantic-search-with-amazon-nova-embeddings-and-s3-vector?utm_source=hashnode&utm_medium=feed) Key insights from AWS Community Day Bengaluru | July 11, 2026 11 min read · [devopstour.hashnode.dev](https://devopstour.hashnode.dev/beyond-keyword-search-building-multimodal-semantic-search-with-amazon-nova-embeddings-and-s3-vector?utm_source=hashnode&utm_medium=feed) [Praise James](https://hashnode.com/@thepraisejames) · [Nov 2](https://hashnode.com/posts/how-rewire-built-a-voice-agent-that-rewrites-itself-after-every-wrong-answer/6ae82bee6ccf7b913869d6e8) ### [How Rewire built a voice agent that rewrites itself after every wrong answer](https://actiandev.hashnode.dev/how-rewire-built-a-voice-agent-that-rewrites-itself-after-every-wrong-answer?utm_source=hashnode&utm_medium=feed) The architecture behind a workflow that patches its own nodes and shares fixes across domains by failure shape. 8 min read · [actiandev.hashnode.dev](https://actiandev.hashnode.dev/how-rewire-built-a-voice-agent-that-rewrites-itself-after-every-wrong-answer?utm_source=hashnode&utm_medium=feed) [Adarsh Srivastava](https://hashnode.com/@srivastava-adarsh) · [Oct 27](https://hashnode.com/posts/pgvector-vs-chroma-what-an-infra-engineer-notices/6ae1159611af676e31492f91) ### [pgvector vs a local vector store (Chroma) — what an infra person notices](https://srivastava-adarsh.hashnode.dev/pgvector-vs-chroma-what-an-infra-engineer-notices?utm_source=hashnode&utm_medium=feed) Part of my ongoing "going under the hood of AI" learning series. All examples use public AWS Well-Architected sample content — no proprietary data. 2 min read · [srivastava-adarsh.hashnode.dev](https://srivastava-adarsh.hashnode.dev/pgvector-vs-chroma-what-an-infra-engineer-notices?utm_source=hashnode&utm_medium=feed) [Huzaifa Khan](https://hashnode.com/@huzaifa207) · [Oct 27](https://hashnode.com/posts/what-readers-taught-my-rag-chatbot/6ae0fa976b0c0c48827c77b9) ### [Three reader fixes for my $0 RAG chatbot, measured before and after](https://itshuzaifa.hashnode.dev/what-readers-taught-my-rag-chatbot?utm_source=hashnode&utm_medium=feed) Re-index only what changed, date every passage, and keep a list of weak questions 12 min read · [itshuzaifa.hashnode.dev](https://itshuzaifa.hashnode.dev/what-readers-taught-my-rag-chatbot?utm_source=hashnode&utm_medium=feed) [Praise James](https://hashnode.com/@thepraisejames) · [Oct 25](https://hashnode.com/posts/build-a-local-ai-agent-on-a-raspberry-pi-5-with-vectorai-db/6ade3243e47b2d570eb64d1c) ### [Build a local AI agent on a Raspberry Pi 5 with VectorAI DB](https://actiandev.hashnode.dev/build-a-local-ai-agent-on-a-raspberry-pi-5-with-vectorai-db?utm_source=hashnode&utm_medium=feed) Local inference, semantic memory, and persistent storage in 2.38 GiB of RAM on a single board. 15 min read · [actiandev.hashnode.dev](https://actiandev.hashnode.dev/build-a-local-ai-agent-on-a-raspberry-pi-5-with-vectorai-db?utm_source=hashnode&utm_medium=feed) [iceberg](https://hashnode.com/@icebergdb) · [Oct 21](https://hashnode.com/posts/introducing-iceberg-db-india-s-serverless-vector-database-ai-agent-memory-engine-20ms-latency/6ad830279d113e0cb5f9c9a9) ### [Introducing Iceberg DB: India's Serverless Vector Database & AI Agent Memory Engine (<20ms Latency)](https://icebergdb.hashnode.dev/introducing-iceberg-db-india-s-serverless-vector-database-ai-agent-memory-engine-20ms-latency?utm_source=hashnode&utm_medium=feed) While building RAG pipelines and autonomous AI agents in India, I kept hitting the same three walls with US-hosted vector databases: 200ms+ Network Latency: Every vector search from India to us-east- 2 min read · [icebergdb.hashnode.dev](https://icebergdb.hashnode.dev/introducing-iceberg-db-india-s-serverless-vector-database-ai-agent-memory-engine-20ms-latency?utm_source=hashnode&utm_medium=feed)