Image created with OpenAI GPT-Image-1. Image prompt: 1966 Kodachrome photo-look, thin white frame, forest-green title band in upper left with stacked yellow/white serif text reading “RAG”, slight fisheye lens distortion scene featuring a notebook titled “Retrieve Augment Generate” held by a band member; gentle film grain, overcast daylight
Glean raises $150M Series F at $7.2B valuation to transform how companies use AI to accelerate innovation https://www.glean.com/blog/glean-series-f-announcement
🎉 We’ve raised $150 million at a $7.2 billion valuation – advancing our mission to transform how enterprises use AI to accelerate innovation. We’re grateful to our customers, partners, investors, and team for helping us reach this milestone. Your support fuels our momentum and https://x.com/glean/status/1932453797051211825
💥 My awesome @UWaterloo ugrad student @sisi_xili – with the help of @rpradeep42 – slapped an MCP server in front of Pyserini to create MCPyserini and connected it to Claude to create DeepResearcherini! 🤪 Here, an example of RAG using the MS MARCO v1 passage collection. https://x.com/lintool/status/1929556643961840040
Congrats to @aiDotEngineer 2025 Best Speakers! MCP: @zeeg Tiny Teams: @alxai_ LLM Recsys: @devanshtandon_ GraphRAG: @danielchalef Fortune 500 Day 1: @hwchase17 Architects Day 1: @denyslinkov Infra: @dylan522p Voice: @bnicholehopkins Product Management: @bbalfour Agent https://x.com/swyx/status/1931552069984608486
Using LLMs to generate structured output is easy. But building high-quality document extraction with precise citations and reasoning for every key in the extracted output is harder. LlamaExtract is our agentic document extraction service, over even the most complex documents and https://x.com/jerryjliu0/status/1932852719292985359
Built a minimal RAG chatbot starter with LangChain + Streamlit – Runs on Replit – Extends with the Replit agent – Deployable in one click Swap models, add data sources, ship as an API — all in Python https://x.com/ImenKedir/status/1930357481995416057
So, OpenAI Deep Research can connect directly to Dropbox, Sharepoint, etc. Early experiments only, but it feels like what every “”talk to our documents”” RAG system has been aiming for, but with o3 smarts and easy use. I haven’t done robust testing yet, but very impressive so far.”” / X https://x.com/emollick/status/1930476226835083343
The secret sauce to building a spreadsheet/Excel agent is not RAG or text-to-CSV, but giving an agent the right mix of tools to manipulate an Excel file. We recently released an Excel agent capable to doing data transformations and QA over deeply complex Excel files. Here is a https://x.com/jerryjliu0/status/1931383524902453336
So many models released past week in open AI, here’s the weekly picks 🥹 let’s gooo 📚 LLMs/Retrieval > @Alibaba_Qwen released Qwen3-Reranker-4B, a text retriever that it supports 100+ languages ranking #1 on MTEB > ..and Qwen3-Embedding models, new embeddings that come In 600M, https://x.com/mervenoyann/status/1933101803274477600
