https://github.com/comet-ml/opik
GitHub - comet-ml/opik: Debug, evaluate, and monitor your LLM applications, RAG systems, and...
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready...
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https://github.com/osu-nlp-group/hipporag
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[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external...
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SQLBot - 基于大模型和 RAG 的智能问数系统 - 官网
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https://dev.to/nathanhamlett/why-your-rag-system-needs-a-graph-database-not-just-vectors-52i3
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Mar 12, 2026 - Vector search finds what's similar. Graph traversal finds what's connected. I built a system with both — 3M vectors and 252K graph nodes — and the graph...
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https://cohere.com/blog/command-r
Command R: RAG at Production Scale
Sep 20, 2024 - Command R is a scalable generative model targeting RAG and Tool Use to enable production-scale AI for enterprise.
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https://deepsense.ai/resources/cookbook/
LLM & RAG Cookbook | Practical Guides for AI Engineers
Oct 29, 2025 - Access engineering recipes for building LLM-powered applications, including RAG design patterns, eval tools, and deployment workflows.
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Vauban AI (RAG, LLM, Embeddings, Rerank)
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https://training.linuxfoundation.org/training/retrieval-augmented-generation-rag-intro-rxm403/
Retrieval Augmented Generation (RAG) Introduction (RXM403) | Linux Foundation Training
Jul 28, 2025 - Discover how Large Language Models (LLM) and RAGs enhance AI by combining generative and retrieval-based models.
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https://habr.com/ru/companies/ruvds/articles/1025812/
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Cloudflare Vectorize - Vector Database for RAG Applications
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https://towardsdatascience.com/your-rag-system-retrieves-the-right-data-but-still-produces-wrong-answers-heres-why-and-how-to-fix-it/
Your RAG System Retrieves the Right Data — But Still Produces Wrong Answers. Here’s Why (and How to...
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https://deepsense.ai/rd-hub/ragbits/
ragbits: Scalable Ingestion for Agentic AI and RAG Pipelines | Open Framework
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https://www.manning.com/books/build-an-advanced-rag-application-from-scratch
Build an Advanced RAG Application (From Scratch) - Hamza Farooq
Retrieval Augmented Generation—RAG—is now the standard way to improve LLM accuracy and relevance. But building production-grade RAG systems requires far more...
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https://www.dreamztech.com/services/rag-system-development/
RAG Development Services — Custom Enterprise RAG Solutions | DreamzTech
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RAG · Hugging Face
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https://arxiv.org/abs/2505.24226
[2505.24226] E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness
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https://www.mongodb.com/de-de/resources/basics/artificial-intelligence/retrieval-augmented-generation
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Erfahren Sie mehr über Retrieval Augmented Generation (RAG) und wie MongoDB Atlas Vector Search diese Technologie nutzt, um Ihre Softwareanwendungen auf das...
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Kotozna Launches "TocDex RAG" to Enhance Accuracy and Multilingual Capabilities in Generative AI |...
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https://hashnode.com/posts/how-to-build-a-self-learning-rag-system-with-knowledge-reflection/69ebd821b463d4844c4f97e5
Discussion on "How to Build a Self-Learning RAG System with Knowledge Reflection" | Hashnode
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https://zilliz.com/learn/Retrieval-Augmented-Generation
What is RAG? - Zilliz Learn
A comprehensive guide to Retrieval Augmented Generation (RAG), including its definition, workflow, benefits, use cases, and challenges.
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https://www.infoq.com/articles/beyond-rag-context-aware/
Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot - InfoQ
Apr 2, 2026 - This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based...
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https://huggingface.co/blog/ngxson/make-your-own-rag
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Mar 21, 2025 - A Blog post by Xuan-Son Nguyen on Hugging Face
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https://deepsense.ai/ai-guidance-for-business-and-technical-teams/
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https://www.agent-context.org/guides/a-practical-guide-to-building-rag-systems-on-a-headless-cms
A Practical Guide to Building RAG Systems on a Headless CMS | agent-context.org
Most enterprise Retrieval-Augmented Generation projects fail before the LLM ever generates a single token.
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https://parlance-labs.com/education/rag/index.html
RAG – Parlance
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https://parlance-labs.com/education/rag/ben.html
Beyond the Basics of RAG – Parlance
LLMs are powerful, but have limitations: their knowledge is fixed in their weights, and their context window is limited. Worse: when they don’t know something,...
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A clear mental model and a practical foundation you can build on
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https://apxml.com/courses/agentic-llm-memory-architectures/chapter-3-designing-memory-systems/advanced-retrieval-strategies
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https://redis.io/blog/chunking-strategy-rag-pipelines/
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https://www.infoq.com/articles/reducing-false-positives-retrieval-augmented-generation/
Reducing False Positives in Retrieval-Augmented Generation (RAG) Semantic Caching: a Banking Case...
Nov 14, 2025 - In this article, author Elakkiya Daivam discusses why Retrieval Augmented Generation (RAG) and semantic caching techniques are powerful levers for reducing...
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Custom LLM & RAG Solutions - AI Agents, Assistants, Copilots - ds.ai
Mar 12, 2026 - Unlock the power of LLMs and RAG with expert AI solutions. We develop custom AI agents, assistants, copilots, and enterprise AI applications to enhance...
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https://mindsdb.com/the-ctos-guide-to-rag
MIndsDB The CTO’s Guide to RAG Guide
Learn what is RAG (Retrieval Augmented Generation) how it works, and why this new approach makes AI answers more accurate, relevant, and secure.
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https://archive.org/details/rag-radio-2026-04-03-jan-lance
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https://dspy.ai/tutorials/rag/
Retrieval-Augmented Generation (RAG) - DSPy
The framework for programming—rather than prompting—language models.
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https://redis.io/tutorials/vector-arxiv-paper-qa/
Build an arXiv paper Q&A RAG app with Redis, LangChain, and Python
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Building a RAG Application with Spring Boot, Spring AI, MongoDB Atlas Vector Search, and OpenAI -...
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검색 증강 생성(RAG) | MongoDB
검색 증강 생성(RAG)에 대해 더 알아보고 MongoDB Atlas Vector Search가 이 기술을 활용하여 소프트웨어 애플리케이션을 한 단계 더 발전시키는 방법에 대해 자세히 알아보세요.
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Build AI-Ready Knowledge Systems Using 5 Essential Multimodal RAG Capabilities | NVIDIA Technical...
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Oct 9, 2025 - Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.
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https://hackernoon.com/tagged/rag-architecture
#rag-architecture stories | HackerNoon
Read the latest rag-architecture stories on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.
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https://www.proofpoint.com/us/threat-reference/retrieval-augmented-generation-rag
What Is RAG (Retrieval-Augmented Generation) Definition | Proofpoint US
Discover what Retrieval-Augmented Generation (RAG) is and how combining LLMs with external data improves accuracy, context, and reliability in AI responses.
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https://www.informationweek.com/data-management/nobody-told-legal-about-your-rag-pipeline-why-that-s-a-problem
RAG compliance risks: Why CIOs must audit AI data pipelines
Apr 17, 2026 - RAG is everywhere in the enterprise, but its compliance and e-discovery risks aren't. What's in your vector database could be your next audit surprise.
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https://redis.io/tutorials/build-a-document-agent-with-redis-rag-and-agent-memory/
How to build a document agent with Redis, RAG, and vector search
Mar 25, 2026 - Build a document agent that answers questions over your own docs using Redis for vector search, RAG, and agent memory. Step-by-step tutorial with Bun, Express,...
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https://community.ibm.com/community/user/blogs/sandeep-zende/2026/04/22/aiqfusion
From RAG to Real Research: Building an AI-Q Research Assistant on an AI Data Platform with IBM...
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https://riggosrag.com/
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Find the latest Washington Commanders news, rumors, trades, free agency updates and more from the insider fans and analysts at Riggo's Rag.
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https://towardsdatascience.com/rag-isnt-enough-i-built-the-missing-context-layer-that-makes-llm-systems-work/
RAG Isn’t Enough — I Built the Missing Context Layer That Makes LLM Systems Work | Towards Data...
Most RAG tutorials focus on retrieval or prompting. The real problem starts when context grows. This article shows a full context engineering system built in...
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