Image created with Flux Pro v1.1 Ultra. Image prompt: Ornate showgirl glamour in orange-and-teal tones, glitter collage of cut-out stage scripts glowing under spotlights, stylized text “RAG” in neon lettering across sequined sheets; spotlit, dramatic contrast, vintage grain, cinematic, high-detail
Gemini Embeddings are already in production with thousands of customers in only ~2 weeks, crazy to see a space which has seen little momentum lately reignited by content engineering + new models. https://x.com/OfficialLoganK/status/1950947167524295080
Gemini Embedding: Powering RAG and context engineering – Google Developers Blog
https://developers.googleblog.com/en/gemini-embedding-powering-rag-context-engineering/
We’re excited to introduce a new parsing mode within LlamaCloud that lets you get complex visual recognition capabilities over documents 🖼️📑 at a cheaper price compared to pretty much anything else out there ⚡️ There’s a variety of VLM-enabled document parsing solutions out https://x.com/jerryjliu0/status/1953227974716665996
Kyle Vogt, co-founder and CEO of The Bot Company, says general-purpose home robots would be extremely valuable, but laundry and dishes are a poor choice of tasks to start with — they’re high-expectation tasks and compete with existing appliances. He’s also skeptical of the https://x.com/TheHumanoidHub/status/1951163537734418835
Production-ready RAG systems need observability. From tracking latency and throughput to evaluating response quality with human feedback or LLM-as-a-judge, robust observability gives you visibility into both system performance and output quality, on both a component and https://x.com/DeepLearningAI/status/1952886740349272173
TOC for the open book “”Beyond Naive RAG: Practical Advanced Methods”” from our RAG series. This condenses 5 hours of instruction into something you can read in ~30 minutes. Link: https://x.com/HamelHusain/status/1953244495430205585
🚀 Improving RAG Accuracy with Hierarchical Reranking Merging internal and external retrieval in a single pass often lets noise from one source weaken the other, lowering relevance and increasing hallucinations. In his latest blog, @pavan_mantha1 explains a two-stage reranking https://x.com/qdrant_engine/status/1951978606617326011
