Trendingby GlyphRAG
Plateau · emerged May 2020 · high March 2026 · -4% on the month before · 66 mentions on Trending in 14 days
Retrieval-augmented generation: a model answers from documents fetched for the question instead of from memory alone. Named by Lewis et al., Facebook AI Research: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (May 22, 2020). Also called Retrieval-augmented generation, RAG pipeline, GraphRAG, Agentic RAG.
Index 0 to 100, monthly
Signals
Hacker News stories, last 12 months583 stories, +4% on the 12 months before
arXiv papers, last 12 months2,705 papers, +10% on the 12 months before
Wikipedia views, October 202635,565, -27% on a year beforeAgainst its high-27% from the high of March 2026
Product releases naming it14 since Feb 19, 2026GitHub repositories43,869Conferences about it1| Signal | Reads as | |
|---|---|---|
| Hacker News stories, last 12 months583 stories, +4% on the 12 months before | 583 stories, +4% on the 12 months before | Adoption |
| arXiv papers, last 12 months2,705 papers, +10% on the 12 months before | 2,705 papers, +10% on the 12 months before | Adoption |
| Wikipedia views, October 202635,565, -27% on a year before | 35,565, -27% on a year before | Decline |
| Against its high-27% from the high of March 2026 | -27% from the high of March 2026 | Decline |
| Product releases naming it14 since Feb 19, 2026 | 14 since Feb 19, 2026 | Adoption |
| GitHub repositories43,869 | 43,869 | Adoption |
| Conferences about it1 | 1 | Adoption |
Trending terms
| Term | PeakPeak score | ||
|---|---|---|---|
| RAGRetrieval-augmented generation: a model answers from documents fetched for the question.AI product7 days, last Oct 20 2 weeks ago | Oct 202 weeks ago | 7 | 18 |
Companies
| Name | Mentions |
|---|---|
 AWS | 4 |
| 2 | |
| 2 | |
| 2 | |
| 1 | |
| 1 | |
| 1 | |
| 1 |
Releases
14 releases since Feb 19, 2026Amazon OpenSearch Serverless now supports a 5-second default refresh intervalAWSAmazon Bedrock Managed Knowledge Base now supports Salesforce and Zendesk as native data source connectorsAWS| Name | |
|---|---|
| Oct 23, 20262 weeks ago | |
| Amazon OpenSearch Serverless now supports a 5-second default refresh intervalAWS · Oct 22, 2026 2 weeks ago | Oct 22, 20262 weeks ago |
| Oct 21, 20262 weeks ago | |
| Oct 14, 20263 weeks ago | |
| Amazon Bedrock Managed Knowledge Base now supports Salesforce and Zendesk as native data source connectorsAWS · Sep 23, 2026 6 weeks ago | Sep 23, 20266 weeks ago |
| Sep 22, 20266 weeks ago | |
| Sep 14, 20268 weeks ago | |
| Sep 14, 20268 weeks ago |
Papers
| Name | |
|---|---|
| Oct 21, 20262 weeks ago | |
| Apr 7, 20267 months ago | |
| Nov 24, 202511 months ago | |
| Oct 4, 20251 year ago | |
| Sep 30, 20251 year ago | |
| Apr 1, 20251 year ago | |
| Jan 8, 20251 year ago | |
| Apr 24, 20242 years ago |
GitHub projects
43,869 repositoriesinfiniflow/ragflowRAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create aHKUDS/LightRAG[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generationmicrosoft/graphragA modular graph-based Retrieval-Augmented Generation (RAG) systemNirDiamant/RAG_TechniquesThis repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed noteboSciPhi-AI/R2RSoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.Azure-Samples/azure-search-openai-demoA sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large lan
| Name | Stars | |
|---|---|---|
| infiniflow/ragflowRAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a · Dec 12, 2023 2 years ago | Dec 12, 20232 years ago | 91,601 |
| HKUDS/LightRAG[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation · Oct 2, 2024 2 years ago | Oct 2, 20242 years ago | 39,954 |
| microsoft/graphragA modular graph-based Retrieval-Augmented Generation (RAG) system · Mar 27, 2024 2 years ago | Mar 27, 20242 years ago | 36,192 |
| NirDiamant/RAG_TechniquesThis repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebo · Jul 13, 2024 2 years ago | Jul 13, 20242 years ago | 29,659 |
| SciPhi-AI/R2RSoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API. · Feb 12, 2024 2 years ago | Feb 12, 20242 years ago | 8,012 |
| Azure-Samples/azure-search-openai-demoA sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large lan · Feb 8, 2023 3 years ago | Feb 8, 20233 years ago | 7,774 |
Partnerships
| Name | |
|---|---|
| Apr 9, 20251 year ago |
Conferences
1 conference| Name | |
|---|---|
| Optimized AI Conference 2025Atlanta, GA · Apr 14, 2025 1 year ago | Apr 14, 20251 year ago |
Related movements
Vector databasesDatabases that store embeddings and find the nearest ones fast, the retrieval layer under RAG and semantic search.AI agentsModels that plan and act in steps, calling tools and other services until a task is done.Context engineeringDeciding what goes into a model's context window, and in what order: instructions, retrieved documents, tools and memory.AI searchSearch that answers with a written summary and citations instead of ten blue links, and the deep research agents that followed.
| Movement | Stage |
|---|---|
| Vector databasesDatabases that store embeddings and find the nearest ones fast, the retrieval layer under RAG and semantic search. | Plateau |
| AI agentsModels that plan and act in steps, calling tools and other services until a task is done. | Rising |
| Context engineeringDeciding what goes into a model's context window, and in what order: instructions, retrieved documents, tools and memory. | Plateau |
| AI searchSearch that answers with a written summary and citations instead of ten blue links, and the deep research agents that followed. | Plateau |
History
Tracking started: emerged May 2020, plateau, 4 other names recorded
| Date | What changed |
|---|---|
| Sep 24, 2026 | Tracking started: emerged May 2020, plateau, 4 other names recorded |
Sources: Curve: Hacker News story titles, Wikipedia pageviews and arXiv papers by month, refreshed Nov 1, 2026. Related entities from the other Glyph Ibis sources' public APIs, matched by name. How stages work.