mlsanityData to 7 Oct 2026

Time series and agricultural RAG

44 papers1 this weekMedium confidence in this grouping: mostly one topic, with blurry edgesMedium confidence in this grouping: mostly one topic, with blurry edges · About

Keywords: forecasting, time series, series, time, agricultural

Key facts. Time series and agricultural RAG: 44 papers on arXiv since 2024 (data through 7 Oct 2026). 12 of its 44 mapped papers (27%) cite “Retrieval Augmented Time Series Forecasting” (2024, arXiv 2411.08249). 9 of its 44 mapped papers (20%) cite “TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster” (2025, arXiv 2503.07649). 2 new papers 17 Sep–7 Oct.

What’s new

17 Sep – 7 Oct 2026

2 new since 17 Sep

  1. Retrieval Is Not Enough: Refreshing Memory for Frozen Time-Series Forecasters
  2. Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs

Foundations

Most cited by papers here

  1. Retrieval Augmented Time Series Forecasting2024cited by 12 here
  2. TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster2025cited by 9 here
  3. Retrieval-Augmented Diffusion Models for Time Series Forecasting2024cited by 6 here
  4. TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting2024cited by 5 here
  5. AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application2025cited by 4 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 9 here
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 30 here
  3. 2023REPLUG: Retrieval-Augmented Black-Box Language Modelscited by 2 here
  4. 2023In-Context Retrieval-Augmented Language Modelscited by 1 here
  5. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2 here
  6. 2024A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Modelscited by 3 here
  7. 2025TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecastercited by 9 here
17 more it builds on, not in this chain
  1. 2021Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generationcited by 2 here
  2. 2022A Survey on Retrieval-Augmented Text Generationcited by 1 here
  3. 2022Re-Imagen: Retrieval-Augmented Text-to-Image Generatorcited by 1 here
  4. 2023Learning Customized Visual Models with Retrieval-Augmented Knowledgecited by 1 here
  5. 2023Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioningcited by 1 here
  6. 2023ReMoDiffuse: Retrieval-Augmented Motion Diffusion Modelcited by 1 here
  7. 2023DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognitioncited by 1 here
  8. 2023Query Rewriting for Retrieval-Augmented Large Language Modelscited by 1 here
  9. 2023Benchmarking Large Language Models in Retrieval-Augmented Generationcited by 1 here
  10. 2023Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Userscited by 2 here
  11. 2024RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecastingcited by 2 here
  12. 2024Retrieval-Augmented Diffusion Models for Time Series Forecastingcited by 6 here
  13. 2024Retrieval Augmented Time Series Forecastingcited by 12 here
  14. 2024TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generationcited by 3 here
  15. 2024TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecastingcited by 5 here
  16. 2025AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Applicationcited by 4 here
  17. 2025AgriGPT: a Large Language Model Ecosystem for Agriculturecited by 2 here

The 24 most cited of 56.

Browse

30 of 44, ranked 6–35

  1. 6TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation20243
  2. 7AgriGPT: a Large Language Model Ecosystem for Agriculture20252
  3. 8RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting20242
  4. 9Cost-Efficient Cross-Lingual Retrieval-Augmented Generation for Low-Resource Languages: A Case Study in Bengali Agricultural Advisory20261
  5. 10Not All Retrievals are Useful: Cross-Attention for Input-Aware RAG in Time Series Forecasting20261
  6. 11KrishokBondhu: A Retrieval-Augmented Voice-Based Agricultural Advisory Call Center for Bengali Farmers20251
  7. 12AgriRegion: Region-Aware Retrieval for High-Fidelity Agricultural Advice20251
  8. 13RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture20241
  9. 14A Unified Variational Imputation Framework for Electric Vehicle Charging Data Using Retrieval-Augmented Language Model20260
  10. 15Towards AI Evaluation in Domain-Specific RAG Systems: The AgriHubi Case Study20260
All 30
  1. 16FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System20260
  2. 17Retrieval-Augmented Generation with Covariate Time Series20260
  3. 18Retrieval-Augmented Multi-scale Framework for County-Level Crop Yield Prediction Across Large Regions20260
  4. 19Evaluation of LLMs in retrieving food and nutritional context for RAG systems20260
  5. 20AgriIR: A Scalable Framework for Domain-Specific Knowledge Retrieval20260
  6. 21Channel-wise Retrieval for Multivariate Time Series Forecasting20260
  7. 22Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting20260
  8. 23Stationarity-Aware Retrieval-Augmented Time Series Forecasting20260
  9. 24Semantics-Enhanced Retrieval-Augmented Time Series Forecasting20260
  10. 25ReDiTT: Retrieval Augmented Conditional Diffusion Transformers for Asynchronous Time Series20260
  11. 26TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion20260
  12. 27Align-RAG: Alignment Is All You Need for TSFM In-Context Learning20260
  13. 28TS-RAG: Retrieval Augmented Generation for Time Series Forecasting20260
  14. 29Model-agnostic Retrieval-Augmented Extended Forecasting for time series20260
  15. 30Where Does Retrieval Fail? Evaluating RAG Architectures for Agricultural Advisory20260
  16. 31RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting20260
  17. 32Retrieval-Augmented Multi-Prompt Ensemble for Minor-Grain Breeding Information Extraction20260
  18. 33Retrieval Augmented Time Series Forecasting20250
  19. 34Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance20250
  20. 35RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection20250