RAGについて情報をまとめる

RAGについてまとめ

RAG情報が溢れているので整理しています。

RAGの概要・入門

https://speakerdeck.com/smiyawaki0820/retrieval-based-lm-rag-system-zatukurili-jie-suru

https://zenn.dev/sompojapan_dx/articles/eb755a18e893ce

https://note.com/qunasys/n/n189f930059a6

https://www.deeplearning.ai/short-courses/knowledge-graphs-rag/

https://internet.watch.impress.co.jp/docs/column/shimizu/1580947.html

https://tech-lab.sios.jp/archives/40774

RAGの性能改善のテクニック

まとめ

https://pub.towardsai.net/advanced-rag-techniques-an-illustrated-overview-04d193d8fec6

https://www.jiang.jp/posts/20230611_retreiver/

https://speakerdeck.com/mkazutaka/gptsyorijing-du-nogao-iragsisutemunogou-zhu

https://zenn.dev/knowledgesense/articles/47de9ead8029ba

https://fintan.jp/page/10301/

https://dev.classmethod.jp/articles/rag-knowledge-on-real-projects/

https://tech.dentsusoken.com/entry/parameter_tuning_for_rag

https://speakerdeck.com/segavvy/tekisutojian-suo-noyuan-dian-quan-wen-jian-suo-nosikumitohuo-yong-hointo

https://github.com/RManLuo/Awesome-LLM-KG

https://qiita.com/jw-automation/items/045917be7b558509fdf2

https://speakerdeck.com/nearme_tech/gui-mo-yu-moderunokuo-zhang-rag-ga-zhong-watutakamozhi-renaijian-nituite

手法

https://note.com/npaka/n/n0be34a51395d

https://speakerdeck.com/mkazutaka/gptsyorijing-du-nogao-iragsisutemunogou-zhu

https://nikkie-ftnext.hatenablog.com/entry/grasp-hyde-hypothetical-document-embeddings

https://hironsan.hatenablog.com/entry/information-retrieval-with-reranker

https://docs.llamaindex.ai/en/stable/examples/index_structs/doc_summary/DocSummary/

https://www.creationline.com/tech-blog/68014

https://note.com/npaka/n/n0be34a51395d

https://tech-lab.sios.jp/archives/38900

https://note.com/qunasys/n/nf9ee9a4e5d60

https://hironsan.hatenablog.com/entry/rag-with-knowledge-graph

https://zenn.dev/knowledgesense/articles/bb5e15abb3c547

https://zenn.dev/knowledgesense/articles/67dd2a41fc4d0b

https://zenn.dev/knowledgesense/articles/508187f1c616e3

RAG関係の論文

RAG関係のサーベイ論文
https://arxiv.org/abs/2312.10997

まとめのGitHubリポジトリ
https://github.com/Tongji-KGLLM/RAG-Survey

サーベイ論文の解説記事 RAG（検索拡張生成）包括的な論文をわかりやすく解説

コサイン類似度が本当に適しているのかをといかける論文
https://arxiv.org/abs/2403.05440

retrieval-augmented thoughts(RAT)という手法について書かれた論文
https://arxiv.org/abs/2403.05313

RAGのエラーの分類に関する論文
https://arxiv.org/abs/2403.01193

HyDEという手法の論文
https://arxiv.org/abs/2212.10496

HyDEのノートブック

メタ認知をRAGに適用
https://arxiv.org/abs/2402.11626

Self RAG
https://arxiv.org/abs/2310.11511

Self RAGノートブック

グラフ

https://arxiv.org/abs/2306.08302

https://arxiv.org/abs/2402.05391

実践

https://note.com/npaka/n/n6d33c2181050

https://zenn.dev/cloud_ace/articles/19bd3554ac8432

https://zenn.dev/spiralai/articles/8af7cbf526c2e1

https://tech-blog.abeja.asia/entry/in-house-jargon-slackbot-with-rag-202402

https://zenn.dev/smartshopping/articles/rag-with-bedrock-and-openai

https://qiita.com/ksonoda/items/ba6d7b913fc744db3d79

https://qiita.com/mitsumizo/items/469d79c5e81d9189a9e4

https://speakerdeck.com/soracom/history-of-soracom-support-bot-20240321

https://qiita.com/minorun365/items/24dfb0ea3afde6ed0a56

https://qiita.com/moritalous/items/76ba9f2ad200df335d07

https://zenn.dev/yumefuku/articles/llm-langchain-rag

https://qiita.com/Naoki_Ishihara/items/662d70a9bd0dc3a8c9ce?1

https://zenn.dev/aidemy/articles/97d5fb6ac03a4f

評価

RAGの評価ソフト
https://github.com/explodinggradients/ragas

ブログ記事

https://note.com/npaka/n/n53e8aabed0f2

https://note.com/npaka/n/n62cd25213679

https://logmi.jp/tech/articles/329143

LLMのRAGを用いたコンペ
https://zenn.dev/nishimoto/articles/aff1fba9c75c34

https://docs.llamaindex.ai/en/stable/examples/index_structs/doc_summary/DocSummary/

https://speakerdeck.com/payanotty/embeddingmoderuwoshi-tutabekutoruhua-nosikumi-fine-tuningshou-fa-wojie-shuo

まとめ

随時更新中です。

関連記事

https://zenn.dev/karaage0703/articles/c8baa66c40f9b7

https://zenn.dev/karaage0703/articles/90d4de4596b262

https://zenn.dev/karaage0703/articles/9bd40f2d3d1a76