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#retrievalaugmentedgeneration — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #retrievalaugmentedgeneration, aggregated by home.social.

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  1. When RAG gives a wrong answer, everyone blames the LLM. Usually the model was fine — retrieval handed it garbage. Here's how to catch it before users do. hackernoon.com/your-rag-isnt-h #retrievalaugmentedgeneration

  2. Souveräne Enterprise KI in Tagen statt Monaten mit Infinito.Nexus

    Der gezeigte Post steht exemplarisch für eine Entwicklung, die aktuell in vielen Unternehmen zu beobachten ist. Es werden kurzfristig KI Entwicklerinnen und Entwickler gesucht, die ein breites Spektrum abdecken, von LLM Integration über RAG bis hin zu produktiven Pipelines und skalierbaren Cloud und Container Umgebungen. Der Bedarf ist hoch, die Anforderungen komplex und die Zeitfenster meist sehr eng. Dabei zeigt sich immer wieder, dass die eigentliche Herausforderung nicht nur im Finden einzelner Expertinnen und Experten liegt, sondern in der fehlenden technischen Grundlage, um solche Lösungen schnell, sicher und nachhaltig umzusetzen. […]

    blog.infinito.nexus/blog/2026/

  3. To improve the relevance of responses produced by Dropbox Dash, engineers at #Dropbox started using #LLMs to augment human labeling - a crucial step in identifying which documents should be used to generate answers.

    Their approach offers useful insights for anyone building systems with #RetrievalAugmentedGeneration (RAG).

    Learn more: bit.ly/3P1nEyj

    #InfoQ #AI

  4. The #Dropbox team just shared a deep dive into the architecture of Dropbox Dash.

    Highlights:
    • A shift toward index-based retrieval
    • Knowledge graph–derived context
    • Continuous evaluation to support enterprise #AI at scale

    🔗 Learn more about the architecture and engineering decisions driving this evolution: bit.ly/3OnGEH6

    #InfoQ #SoftwareArchitecture #AI #LLMs #DistributedSystems #RetrievalAugmentedGeneration

  5. SurrealDB 3.0 now packs agent memory, business logic, and multimodal data into a single Rust‑powered engine. It blends graph queries, vector search and retrieval‑augmented generation, letting AI agents store context and act without juggling separate stores. Dive into the details and see how this open‑source DB could reshape your stack. #SurrealDB #RetrievalAugmentedGeneration #VectorSearch #MultiModalData

    🔗 aidailypost.com/news/surrealdb

  6. RAG (Retrieval Augmented Generation) is the solution. Here's how to build your own RAG server from scratch using ollama, Open WebUI and Chroma DB!

    ✅ Document processing ✅ Vector embeddings ✅ Smart retrieval ✅ Production-ready API

    alanbonnici.com/2026/02/how-to

    #RetrievalAugmentedGeneration #RAG #AIEngineering #LLM #Python #TTMO #OpenSource #AI

  7. 🚀 #𝐀𝐈, #𝐌𝐋 & #𝐃𝐚𝐭𝐚𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐖𝐡𝐚𝐭 𝐖𝐞 𝐋𝐞𝐚𝐫𝐧𝐞𝐝 𝐢𝐧 𝟐𝟎𝟐𝟓

    Hype is loud, but production is hard. We’ve curated the 5 most-read deep dives on #InfoQ from the past year - articles that skip the buzzwords to offer real-world lessons for 2026. 👇

    ➡️ Beyond the Gang of Four: Practical Design Patterns for Modern AI Systems by Rahul Suresh
    bit.ly/4dlddxC

    ➡️ Effective Practices for Architecting a RAG Pipeline by Glenn Engstrand
    bit.ly/41xgLZa

    ➡️ MCP: the Universal Connector for Building Smarter, Modular AI Agents by Sanjay Surendranath Girija, Lakshit Arora, Shashank Kapoor
    bit.ly/45Tga6J

    ➡️ AI Trends Disrupting Software Teams by Bilgin Ibryam
    bit.ly/4i2wlkZ

    ➡️ Domain-Driven RAG: Building Accurate Enterprise Knowledge Systems through Distributed Ownership by George Panagiotopoulos
    bit.ly/4k2GlNL

    📚 #StayAhead of the curve - Knowledge is power 💪

    #RAG #RetrievalAugmentedGeneration #MCP #ModelContextProtocol #AIagents #AItrends #SoftwareArchitecture

  8. Hybrid RAG combines vector search with knowledge graphs to fix retrieval blind spots, boost support accuracy, and cut investigation time in enterprise systems. hackernoon.com/stop-relying-on #retrievalaugmentedgeneration

  9. I'm thinking of using EntityDB for in-browser local embeddings.

    No idea if this is a good idea.

    The API seems quite straightforward.

    I don't even need to spin up Hugging Face (transformers.js) myself. It just takes text and runs the embedding for me.

    Any other recommendations?

    github.com/babycommando/entity

    #AIEngineering #ContextEngineering #PromptEngineering #RAG #RetrievalAugmentedGeneration #JavaScript #WebDev

  10. Unlock precision in GenAI by moving beyond traditional #RAG#AgenticRAG.

    In this #InfoQ video, Adi Polak dives into Agentic RAG architectures, emergent agent design patterns, and the crucial feedback loops (including LLM-as-a-judge) that drive continuous refinement.

    ▶️ Watch now: bit.ly/481f4FD

    📄 #transcript included

    #RetrievalAugmentedGeneration #AI #SoftwareArchitecture #GenAI

  11. Advanced RAG (Retrieval-Augmented Generation) goes beyond simple query → answer.

    It involves:
    1. Query understanding & transformation
    2. Document & semantic chunking
    3. Vector processing & retrieval strategies
    4. Reranking, context integration, and response generation

    The goal: more accurate, contextual, and fact-verified answers.

    📕 ebokify.com/machine-learning

    #RAG #AI #LLM #MachineLearning #NLP #GenerativeAI #DataScience #RetrievalAugmentedGeneration

  12. Learn how to integrate Spring Boot, Spring AI, MongoDB Atlas, & OpenAI to transform how businesses access data and create value.

    📝 This #InfoQ article explores how these technologies come together to build a #RetrievalAugmentedGeneration pipeline - showing how they fit naturally into modern enterprise architectures.

    🔗 bit.ly/47KRUUX

    #Java #RAG

  13. 👻🔍 "The RAG Obituary" hilariously pretends to be a funeral for irrelevant tech—only to be buried under its own jargon avalanche. Somehow, "retrieval-augmented generation" managed to survive the onslaught of buzzwords and context windows...but just barely. Who knew AI would need a eulogy? ⚰️💻
    nicolasbustamante.com/p/the-ra #funeralfortech #jargonoverload #AIhumor #retrievalaugmentedgeneration #technews #HackerNews #ngated

  14. Go beyond prompting. A deep dive into the architecture of AI agents and how to build your own with C#, LLMs, and external tools. hackernoon.com/building-ai-age #retrievalaugmentedgeneration