Database Systems and Comparisons in 2025: The Ultimate Guide to Choosing Your Data Home
https://techlife.blog/posts/database-systems-2025/ #databases
#SQL #NoSQL #PostgreSQL #MongoDB #Oracle #MySQL #VectorDatabases #CloudDatabases
Database Systems and Comparisons in 2025: The Ultimate Guide to Choosing Your Data Home
https://techlife.blog/posts/database-systems-2025/ #databases
#SQL #NoSQL #PostgreSQL #MongoDB #Oracle #MySQL #VectorDatabases #CloudDatabases
Amazon S3 Vectors is now GA!
AWS introduces a “Storage-First” architecture that decouples compute from storage, cutting TCO by up to 90% for large-scale RAG workloads.
With this GA release, S3 Vectors:
• Boosts per-index capacity 40× to 2 billion vectors
• Delivers sub-100ms query latencies
More on #InfoQ 👉 https://bit.ly/4ppNAQD
Swiggy launches Hermes V3 – a GenAI-powered text-to-SQL assistant.
Built to operate within #Slack, it uses vector retrieval, session memory, agentic orchestration & an explanation layer to generate accurate SQL queries.
#AI #LLMs #Chatbots #VectorDatabases #SoftwareArchitecture #InfoQ
via @dotnet : Generative AI with Large Language Models in C# in 2026
https://ift.tt/ikxf7Ej
#GenerativeAI #LargeLanguageModels #CSharp #AI2026 #OpenAI #Microsoft #Azure #SemanticKernel #MachineLearning #AIExtensions #VectorDatabases #DotNet #AIInnovation #ChatGP…
AI Skills 2025: LangChain, RAG & MLOps—The Complete Guide
https://techlife.blog/posts/ai-skills-2025-langchain-rag-mlops-guide/
#LangChain #RAG #MLOps #LangGraph #DeepAgents #Kubernetes #VectorDatabases #ChromaDB #Weaviate #Pinecone #MLflow
Stop buying specialized Vector Databases.
In the rush to adopt LangChain and RAG, teams spun up these other Vector Databases.
Ssimplicity wins. PGVector is more than enough for 95% of use cases,
- Postgres handles vector embeddings perfectly.
- Gravity: Keep your embeddings where your relational data lives.
- Latency kills agent performance.
- Cost: One instance is cheaper than two managed services.
I fell down the vector database rabbit hole 😁
This year Storyblok announced Strata, our vector-powered platform to make content genuinely usable in the AI era (LLM search, RAG, ...). So my DevRel brain (the Senior part of it) said: ok, learn this properly, and share the journey with a 3-part series on our dev blog!
Part 1 is live: a gentle intro to the what/why behind vector DBs, with plenty of links for deeper dives. It's the "a‑ha!" moment I wish I had on day zero.
If you're new to this or want a clean mental model, give it a read, and please tell me what's missing so Part 2 (hands‑on, code + retrieval) can be even better!
PS: these are my findings as I go, no "professor" vibes here, I'm learning out loud so don't expect perfection (yet). If you spot gaps or have resources, drop them in! Let's learn this properly together 😉
#vectordatabases #LLM #RAG #devrel
https://www.storyblok.com/mp/what-s-the-big-deal-with-vector-databases
Replicate joins Cloudflare in a massive bet on the future of developer friendly AI
https://fed.brid.gy/r/https://nerds.xyz/2025/11/replicate-joins-cloudflare/
Explore how #RetrievalAugmentedGeneration & #SemanticCaching can reduce #FalsePositives in AI-powered apps.
Insights come from a production-grade #CaseStudy testing 1,000 queries across 7 bi-encoder models.
📰 Read now: https://bit.ly/4nTPmso