
Excited to announce a new open-source library to build advanced RAG system in minutes: without writing a single line of code. deja vu 😁 Introducing NyRAG (pronounced knee-RAG): an open-source tool that makes creating production-ready RAG applications incredibly simple. ✅ Crawl websites OR process docs (PDF, DOCX, MD) ✅ Hybrid search with Vespa ✅ Multi-query RAG with LLM enhancement ✅ Built-in Chat UI ✅ Fully local or Vespa Cloud pip install nyrag
Here are my predictions for 2026 in the AI world: - openai will release new sota models - google will release new sota models - anthropic will release new sota models
Now ive an org badge on Hugging Face 💥 https://t.co/nIUb978xUh
2026 will be the year of RAG

this is running on all of the hugging face documentation. i ask a question, magic happens and i get a correct response. shall i share the code? https://t.co/a3YezDpZdb
Join Vespa webinar today to learn more about Vespa! > Query & Indexing Performance > Ranking, Retrieval & Hybrid Search > Vector/Tensor/Multimodal Support > Developer Tooling & APIs > Cloud Infrastructure & Operability > Use Case / RAG Enabled Features https://t.co/T5rq1UiLS9
Here's how easy it is to use your custom lightgbm or xgboost model in vespa for ranking/re-ranking! https://t.co/qhXCRMKS1G
is it just me or has google ai studio has recently made the ui really bad when it comes to switching models?
in a week i was able to build an awesome looking application with react (typescript, vite) as frontend and python backend (fastapi). i kept the frontend as dumb as possible as i dont understand much frontend. google's gemini3 has been...