---
title: "#long-context articles | Hashnode"
description: "Explore 3 articles tagged #long-context on Hashnode. Tutorials, guides, and how-tos from the community."
url: "https://hashnode.com/tag/long-context"
---

Tag

# #long-context

3 posts · 0 followers

[Patrick Kearns](https://hashnode.com/@fullstackcity) · [Oct 3](https://hashnode.com/posts/rag-vs-long-context-in-net/6ac12ef77048726fab66cd50)

### [RAG vs Long Context in .NET](https://dotnetdigest.com/rag-vs-long-context-in-net?utm_source=hashnode&utm_medium=feed)

A side by side comparison

22 min read · [dotnetdigest.com](https://dotnetdigest.com/rag-vs-long-context-in-net?utm_source=hashnode&utm_medium=feed)

[5](https://hashnode.com/posts/rag-vs-long-context-in-net/6ac12ef77048726fab66cd50)

[Manu Shukla](https://hashnode.com/@mr-manushukla) · [Jul 18](https://hashnode.com/posts/2m-token-context-vs-rag-in-2026-cost-latency-and-when-each-actually-wins/6a5bea3314d3504871e19113)

### [2M-token context vs RAG in 2026: cost, latency and when each actually wins](https://ecorpit.hashnode.dev/2m-token-context-vs-rag-in-2026-cost-latency-and-when-each-actually-wins?utm_source=hashnode&utm_medium=feed)

2M-token context vs RAG in 2026: cost, latency and when each actually wins Summary. Google DeepMind released Gemini 3.5 Pro on 18 July 2026 with a 2-million-token context window, roughly double Claude

14 min read · [ecorpit.hashnode.dev](https://ecorpit.hashnode.dev/2m-token-context-vs-rag-in-2026-cost-latency-and-when-each-actually-wins?utm_source=hashnode&utm_medium=feed)

[Learn with HJ](https://hashnode.com/@hardeepjethwani) · [Jul 11](https://hashnode.com/posts/long-context-windows-bigger-memory-or-bigger-mess/6a5262b28e482fd62d4fd12d)

### [Long Context Windows: Bigger Memory or Bigger Mess?](https://hardeepjethwani.hashnode.dev/long-context-windows-bigger-memory-or-bigger-mess?utm_source=hashnode&utm_medium=feed)

Explain long-context models, use cases, attention limits, cost, and retrieval tradeoffs.

6 min read · [hardeepjethwani.hashnode.dev](https://hardeepjethwani.hashnode.dev/long-context-windows-bigger-memory-or-bigger-mess?utm_source=hashnode&utm_medium=feed)

[Anup Karanjkar](https://hashnode.com/@anupkaranjkar) · [May 2](https://hashnode.com/posts/kimi-ai-chinese-ai-beating-chatgpt-some-tasks/69f5838fb63276984c4c37e0)

### [Kimi AI: The Chinese AI That's Beating ChatGPT at Some Tasks](https://wowhow.hashnode.dev/kimi-ai-chinese-ai-beating-chatgpt-some-tasks?utm_source=hashnode&utm_medium=feed)

Kimi AI review: the Chinese AI model that's excelling at long-context tasks, document analysis, and research. Features, comparison, strengths, and limitations.

5 min read · [wowhow.hashnode.dev](https://wowhow.hashnode.dev/kimi-ai-chinese-ai-beating-chatgpt-some-tasks?utm_source=hashnode&utm_medium=feed)

[Jangwook Kim](https://hashnode.com/@effloow) · [Apr 16](https://hashnode.com/posts/gemini-3-ultra-2m-context-multimodal-developer-guide-2026/69e02980881ecca6e6a0e99f)

### [Gemini 3.1 Ultra: Long Context and Multimodal Dev Guide](https://effloow.hashnode.dev/gemini-3-ultra-2m-context-multimodal-developer-guide-2026?utm_source=hashnode&utm_medium=feed)

Google's Gemini 3.1 generation marks a turning point in how developers interact with large language models. With a 1-million-token context window, native processing of video, audio, images, and code in a single request, plus sandboxed in-session code...

10 min read · [effloow.hashnode.dev](https://effloow.hashnode.dev/gemini-3-ultra-2m-context-multimodal-developer-guide-2026?utm_source=hashnode&utm_medium=feed)