# Handling Context Limitations in Gemini Language Models **URL:** \ **Category:** Documentation\ **Tags:** gemini-15, tensorflow, api, models, datasets\ **Created:** [August 13, 2025, 3:55am UTC](https://discuss.ai.google.dev/t/handling-context-limitations-in-gemini-language-models/97885 "2025-08-13T03:55:55Z")\ **Posts on this page:** 4\ **Page:** 1
**Author:** ![xyzapk](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/xyzapk/32/31619_2.png) [@xyzapk](https://discuss.ai.google.dev/u/xyzapk)\ **Post date:** [August 13, 2025, 3:55am UTC](https://discuss.ai.google.dev/t/handling-context-limitations-in-gemini-language-models/97885/1 "2025-08-13T03:55:55Z")
> Hello all, > I’ve been working with Gemini language models lately, and I’m running into some challenges when the input text exceeds the model’s context window. It seems like important details get cut off or forgotten. > > I wanted to ask: > > - How do you usually handle inputs that are longer than the context limit? > - Are there recommended approaches to chunk or summarize data before sending it to the model? > - Have there been any updates in 2025 addressing these issues? > > Any insights or tips from your experience would be really helpful! Thanks! ---
**Author:** ![discourse\_ai\_spam](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/discourse_ai_spam/32/32411_2.png) [@discourse\_ai\_spam](https://discuss.ai.google.dev/u/discourse_ai_spam)\ **Post date:** [August 13, 2025, 4:05am UTC](https://discuss.ai.google.dev/t/handling-context-limitations-in-gemini-language-models/97885/2 "2025-08-13T04:05:20Z")
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**Author:** ![system](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/system/32/1_2.png) [@system](https://discuss.ai.google.dev/u/system)\ **Post date:** [August 13, 2025, 4:16am UTC](https://discuss.ai.google.dev/t/handling-context-limitations-in-gemini-language-models/97885/3 "2025-08-13T04:16:41Z")
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**Author:** ![Mrinal\_Ghosh](https://d1dlmcr85iqnpo.cloudfront.net/user_avatar/discuss.ai.google.dev/mrinal_ghosh/32/32599_2.png) [@Mrinal\_Ghosh](https://discuss.ai.google.dev/u/Mrinal_Ghosh)\ **Post date:** [September 9, 2025, 8:22am UTC](https://discuss.ai.google.dev/t/handling-context-limitations-in-gemini-language-models/97885/5 "2025-09-09T08:22:19Z")
Hi @xyzapk , You can try using Retrieval-Augmented Generation (RAG) with Gemini models. Also please go through :[Long context  |  Gemini API  |  Google AI for Developers](https://ai.google.dev/gemini-api/docs/long-context)