🤔
The paper studies what happens when embedding based systems replace many memories, vectors, or retrieved passages with only a few representatives. The central claim: the same spectral structure that governs forgetting under retrieval noise also governs consolidation under compression: efficiency is increasingly becoming a question of representation geometry rather than brute force scaling alone.

https://github.com/niashwin/geometry-of-consolidation/blob/main/paper/arxiv/main.pdf
#AIInfrastructure #RAG #LLM #ArtificialIntelligence #VectorDatabases

#DoorDash launched a multimodal #ML system aligning images, text, and user queries in a shared embedding space.

• Trained on 32M query–product pairs
• Uses contrastive learning
• Improves semantic search, ranking, and advertising relevance

More details here ⇨ https://bit.ly/41fhrl3

#SoftwareArchitecture #AI #Rankings #Search #VectorDatabases #EmbeddedDatabases #InfoQ

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

#CloudComputing #AI #VectorDatabases #RAG #AWS #S3

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.

🔗 https://bit.ly/49rSM0C

#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.

#pgvector #postgres #postgresql #dougortiz #vectordatabases

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