Home / Trends / RAG

RAG

Retrieval Augmented Generation patterns

Tracked keywords: rag, retrieval augmented generation, retrieval-augmented

Mentions Over Time

929
Total Mentions
603
Posts mentioning Trend
91
Companies Mentioning
41
Most mentions in a week
Week Mentions Posts Companies WoW Change
Sept 14–20, 2026 12 11 8 +33.3%
Sept 7–13, 2026 9 9 6 -43.8%
Aug 31–Sept 6, 2026 16 13 9 0%
Aug 24–30, 2026 16 12 10 +23.1%
Aug 17–23, 2026 13 12 6 +30.0%
Aug 10–16, 2026 10 9 9 +66.7%
Aug 3–9, 2026 6 5 5 -14.3%
Jul 27–Aug 2, 2026 7 5 4 -61.1%
Jul 20–26, 2026 18 10 6 +80.0%
Jul 13–19, 2026 10 8 8 +25.0%
Jul 6–12, 2026 8 8 7 +166.7%
Jun 29–Jul 5, 2026 3 3 3 -70.0%
Jun 22–28, 2026 10 9 9 +25.0%
Jun 15–21, 2026 8 8 8 -20.0%
Jun 8–14, 2026 10 8 7 +11.1%
Jun 1–7, 2026 9 6 5 -18.2%
May 25–31, 2026 11 10 8 -21.4%
May 18–24, 2026 14 10 8 +16.7%
May 11–17, 2026 12 11 8 +20.0%
May 4–10, 2026 10 8 7 -52.4%
Apr 27–May 3, 2026 21 14 12 +50.0%
Apr 20–26, 2026 14 12 11 +16.7%
Apr 13–19, 2026 12 11 10 -7.7%
Apr 6–12, 2026 13 13 13 +44.4%
Mar 30–Apr 5, 2026 9 7 5 -52.6%
Mar 23–29, 2026 19 10 7 +18.8%
Mar 16–22, 2026 16 11 8 -40.7%
Mar 9–15, 2026 27 16 12 -15.6%
Mar 2–8, 2026 32 18 11 +33.3%
Feb 23–Mar 1, 2026 24 15 11 +33.3%
Feb 16–22, 2026 18 14 10 -43.8%
Feb 9–15, 2026 32 16 8 +18.5%
Feb 2–8, 2026 27 14 11 +68.8%
Jan 26–Feb 1, 2026 16 10 7 -11.1%
Jan 19–25, 2026 18 11 11 -28.0%
Jan 12–18, 2026 25 10 7 +56.3%
Jan 5–11, 2026 16 8 7 +45.5%
Dec 29, 2025–Jan 4, 2026 11 9 7 -59.3%
Dec 22–28, 2025 27 12 9 +68.8%
Dec 15–21, 2025 16 11 8 -11.1%
Dec 8–14, 2025 18 14 8 -10.0%
Dec 1–7, 2025 20 11 9 +53.8%
Nov 24–30, 2025 13 8 7 -62.9%
Nov 17–23, 2025 35 17 11 +20.7%
Nov 10–16, 2025 29 13 12 -25.6%
Nov 3–9, 2025 39 18 11 +44.4%
Oct 27–Nov 2, 2025 27 20 9 -15.6%
Oct 20–26, 2025 32 14 9 +77.8%
Oct 13–19, 2025 18 14 9 -56.1%
Oct 6–12, 2025 41 25 16 +51.9%
Sept 29–Oct 5, 2025 27 15 14 +8.0%
Sept 22–28, 2025 25 17 13 -32.4%

Recent X Evidence

50 items
DateCompanyTitleAccountMentions
Sept. 19, 2026 FalkorDB Standard RAG can't follow relationships — GraphRAG traverses the graph instead of embeddi… Company 1
Sept. 19, 2026 ScyllaDB For a large class of RAG applications, the vector database is the slowest part of the pip… Company 1
Sept. 19, 2026 FalkorDB KGs cut LLM hallucination by grounding answers in traceable knowledge paths. Microsoft's … Company 1
Sept. 18, 2026 Zilliz 𝗭𝗶𝗹𝗹𝗶𝘇'𝘀 𝗳𝗶𝗿𝘀𝘁 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝘄𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗶𝗻 𝗝𝗮𝗽𝗮𝗻 𝗶𝘀 𝗮 𝘄𝗿𝗮𝗽! On September 17, we brought togeth… Company 2
Sept. 18, 2026 Neo4j The workshop you were looking for: 2 hours, virtual, and for free. If you are building w… Company 1
Sept. 17, 2026 JetBrains What does it take to build a production-grade RAG pipeline for semantic code search? In p… Company 1
Sept. 17, 2026 Pinecone A database knows where your data is. A vector database understands what your data means. … Company 1
Sept. 15, 2026 testRigor What Is Agentic QA? Learn what Agentic QA is, its architecture, how autonomous testing w… Company 1
Sept. 14, 2026 Neo4j RT @ConorBronsdon: Most RAG setups fall over on questions that need more than one hop. @… Company 1
Sept. 14, 2026 Neo4j Have you read "Essential GraphRAG" by Tomaz Bratanic and Oskar Hane? Test your knowledge … Company 1
Sept. 14, 2026 Render At PR.ide, Blue demoed a RAG agent on Render that fact-checks its own answers, powered by… Company 1
Sept. 11, 2026 Yugabyte Resilient systems are crucial to ensure real-time, consistent, and always-available appli… Company 1
Sept. 11, 2026 Temporal Soooooo what happens after PII is redacted in a RAG pipeline? Houman Kargaran shows how … Company 1
Sept. 10, 2026 Yugabyte Check out this short YugabyteDB AMP branching demo, which shows how to optimize slow data… Company 1
Sept. 10, 2026 Vultr Tables, charts, and diagrams can get lost in traditional RAG pipelines. See how VultronR… Company 1
Sept. 9, 2026 GitLab Coding agents are stuck choosing between RAG or knowledge graphs. Both come with tradeoff… Company 1
Sept. 9, 2026 Yugabyte "A multi-agent system can burn 15 times as many tokens as a single chat interaction." Di… Company 1
Sept. 9, 2026 Qdrant We’ve just launched the Qdrant Beginner Course, built for people who want to understand v… Company 1
Sept. 9, 2026 Redis Vector search is one piece of a production RAG system. Most standalone vector databases o… Company 1
Sept. 8, 2026 Yugabyte "The launch of Meko is not a database announcement. It is a direct bet on where the agent… Company 1
Sept. 6, 2026 RunPod If your inference is memory-bound at low batch sizes, speculative decoding can help. N-g… Company 1
Sept. 4, 2026 Reducto 🔖 Cookbook Highlight: Turn a Complex 10-K into Grounded RAG with r-1 We built an end-to-… Company 2
Sept. 3, 2026 n8n Fine-tuning or RAG: which one does your LLM actually need? Short answer: it depends on th… Company 2
Sept. 3, 2026 Pinecone RT @software_daily: Jörg Schad is the VP of Engineering at @pinecone. He joins @kbal11 to… Company 1
Sept. 3, 2026 Yugabyte Resilient systems are crucial to ensure real-time, consistent, and always-available appli… Company 1
Sept. 2, 2026 Yugabyte 🚨LIVE TOMORROW🚨 Meet the YugabyteDB team at AWS Summit São Paulo and discover AI-native,… Company 1
Sept. 1, 2026 Google Cloud This week’s livestream all about building a Streamlit RAG agent using ADK and deploying i… Company 2
Sept. 1, 2026 Yugabyte AI-native YugabyteDB eliminates the need for separate databases to power transactions, AI… Company 1
Aug. 31, 2026 Yugabyte Meko was named one of 'The 10 Coolest Big Data Tools of 2026' by CRN! 🏆 Meko is the agen… Company 1
Aug. 31, 2026 FalkorDB 1. Vector DB: nearest neighbors. Good for "similar to this," useless for "how is A connec… Company 1
Aug. 31, 2026 Elastic Answering from precomputed facts cut agent token use by 93%. Standard agentic RAG retrie… Company 1
Aug. 31, 2026 FalkorDB 1. Fine-tuning to teach an LLM new facts: slow, expensive, stale again next week. 2. RAG:… Company 1
Aug. 31, 2026 Unstructured An image inside a document is invisible to your retriever. Diagrams, charts, screenshots … Company 1
Aug. 29, 2026 RunPod Every LangChain RAG tutorial plugs in OpenAI and calls it done. That works until you're… Company 1
Aug. 27, 2026 FalkorDB 1. GraphRAG follows edges. Vector RAG follows vibes. 2. 26–97% fewer tokens. Same answers… Company 2
Aug. 27, 2026 FalkorDB 1. Same 5 questions. Vectors: 2/5. Graph: 5/5. 2. One hop away and vector search is blind… Company 1
Aug. 26, 2026 Unstructured Why do tables always fall apart when you pull them out of a document? Most parsers flatt… Company 1
Aug. 26, 2026 SurrealDB Why do RAG agents give confidently wrong answers? Often it's the glue code merging vector… Company 1
Aug. 25, 2026 Weaviate RAG has a text-shaped bottleneck. Transcripts lose tone. OCR mangles layouts. Captions m… Company 2
Aug. 25, 2026 FalkorDB Hallucinations in RAG aren’t a model problem - they’re a retrieval problem. Vector search… Company 2
Aug. 25, 2026 Neo4j Check out what Jim finds super interesting in the latest NICD study, "Reducing Hallucina… Company 1
Aug. 25, 2026 ScyllaDB LLMs are trained on a fixed snapshot. RAG chatbot patches that gap by retrieving relevant… Company 1
Aug. 24, 2026 Qdrant How to cut RAG token costs by 67% without adding another reranking service? @cappybarade… Company 2
Aug. 24, 2026 LllamaIndex RT @jerryjliu0: The latest RAG trend for the current agent harnesses (Codex, Cowork) is t… Company 1
Aug. 24, 2026 MongoDB Building a production-ready RAG app in Java isn't complicated. With MongoDB Atlas Vecto… Company 1
Aug. 21, 2026 TestMu AI 🧠 When software starts thinking, correctness stops being binary. Join Chinmaya Kothari, … Company 1
Aug. 21, 2026 Yugabyte "A multi-agent system can burn 15 times as many tokens as a single chat interaction." Di… Company 1
Aug. 21, 2026 Neo4j Ontologies, agentic memory, and context graphs—three topics that kept coming up at the la… Company 1
Aug. 20, 2026 Weaviate Better prompts won't fix a broken context pipeline. Reliable agentic RAG depends on cont… Company 2
Aug. 20, 2026 Yugabyte “An agentic system that’s truly next generation cannot afford downtime.” Enterprise inve… Company 1
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