#RAG | AI Hub

Dev.to tutorial Aug 2

Your agent's memory is a vector store. Ask it "how many" and watch it fall over.

A vector store returns the top-k most similar memories — there is no GROUP BY, COUNT, or JOIN. Recall is similarity; reporting is aggregation. Agent memory needs both machines, not...

RAG

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Dev.to tutorial Aug 1

Why RAG Docs Chatbots Answer Wrong: Embeddings, Chunking, and Context Fixes

A RAG ask-your-docs chatbot stops hallucinating wrong answers when retrieval is treated as an...

RAG

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YouTube video Aug 1

Beyond RAG: route context at up to 64x compression #a2zai #ainews #ai #shortsvideo #shortsfeed #tech

Task-aware knowledge compression pre-builds multiple views of a stable corpus, then routes each question to the right fidelity tier ...

RAG

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Dev.to tutorial Aug 1

Evaluating Pinecone, Milvus, and Weaviate for GDPR-Compliant Serverless Vector Search in Generative AI Platforms

Evaluating Pinecone, Milvus, and Weaviate for GDPR-Compliant Serverless Vector Search in...

RAG

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Dev.to tutorial Aug 1

On-premise RAG without GPU, cloud, or Docker: five lessons that cost me a week each

Every RAG tutorial I've read makes the same two assumptions: you have a GPU, and you can call a cloud...

RAG AI Hardware

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Mastodon discussion Jul 31

RAG blends searches, adds context, and lets LLMs answer accurately.#rag #search #llm #loweffort

LLM RAG

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GitHub Trending repo Jul 31

manogna-tsth/legalease-rag-chatbot: AI-powered legal chatbot that uses RAG to search a legal knowledge base, find information related to a user’s question, and generate simple responses with suggested next steps using SentenceTransformers, FAISS and Generative AI.

AI-powered legal chatbot that uses RAG to search a legal knowledge base, find information related to a user’s question, and generate simple responses with suggested next steps usin...

RAG

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Dev.to tutorial Jul 31

Your RAG copilot can't count — stop letting it try

Your RAG copilot can't count — stop letting it try A user asked our document-search...

Microsoft Code Generation RAG

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Mastodon discussion Jul 31

Bypass Kafka JVM latency for Real-Time RAG!Kafka JVM GC pauses stall LLM Time to First Token (TTFT). Redpanda's C++ thre...

Bypass Kafka JVM latency for Real-Time RAG!Kafka JVM GC pauses stall LLM Time to First Token (TTFT). Redpanda's C++ thread-per-core engine brings microsecond streaming to Bare Meta...

LLM RAG

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Dev.to tutorial Jul 31

Build a RAG-Powered Database Assistant with PostgreSQL and pgvector

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RAG

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Mastodon discussion Jul 31

Scoping a chatbot for your website? The pgEdge AI Toolkit keeps your full #RAG pipeline in #PostgreSQL - Docloader inges...

Scoping a chatbot for your website? The pgEdge AI Toolkit keeps your full #RAG pipeline in #PostgreSQL - Docloader ingests, Vectorizer chunks & embeds, RAG Server handles queries. ...

RAG

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Dev.to tutorial Jul 31

Nice post explaining the small bits about local RAG!

Building a 100% Local RAG System on Kubernetes — No API Keys Required ...

RAG

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Dev.to tutorial Jul 30

Corrective RAG for billing: the bug is not retrieval, it's the model narrating correct numbers wrong

A production billing assistant, the CRAG knowledge-refinement step done without a second model, and a grounding verifier that rejects any number the evidence cannot support.

RAG

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Dev.to tutorial Jul 30

What I Learned Building an AI Tutor: RAG, Prompt Design, and Its Limits

A Systems Engineering Perspective It's late. The same error traceback stares back at you for the...

RAG

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Dev.to tutorial Jul 30

Data, Context & RAG Lineage Governance for Enterprise AI Agents

A deep-dive architectural guide to query-time ABAC, cryptographic lineage, and outbound payload sanitization in agentic RAG systems.

RAG

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Mastodon discussion Jul 29

Classic RAG works well for simple, single-hop queries but fails on multi-step reasoning, vocabulary mismatches, or split...

Classic RAG works well for simple, single-hop queries but fails on multi-step reasoning, vocabulary mismatches, or split evidence. Agentic RAG adds complexity but can handle these ...

RAG

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Dev.to tutorial Jul 29

Why does parsing scientific papers for RAG still break on equations and tables?

If you've tried building RAG over scientific papers, you've probably hit this: the PDF looks fine,...

RAG

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Mastodon discussion Jul 29

Classic RAG works for simple, predictable queries but struggles with multi-hop reasoning, vocabulary mismatches, and spl...

Classic RAG works for simple, predictable queries but struggles with multi-hop reasoning, vocabulary mismatches, and split evidence. Agentic RAG adds complexity for better accuracy...

RAG

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Dev.to tutorial Jul 29

Why One RAG Wasn't Enough: Building a Multi-RAG Pipeline for Jira Backlog Analysis

Large language models are only as good as the context you give them. While building an LLM-powered...

RAG

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Dev.to tutorial Jul 29

Your RAG Index Might Be Lying to You: Data Freshness Is the Missing Signal for AI Systems

A follow-up to How Old Is My Data? The failure mode that gets worse when a machine is...

RAG

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Mastodon discussion Jul 28

岡山、了解しましたですMac mini（M4 Pro / 48GB）で「完全ローカル」のLLM + RAG環境を構築してみた - Qiita https://qiita.com/y-okayama-tb/items/0127a7c5203f...

岡山、了解しましたですMac mini（M4 Pro / 48GB）で「完全ローカル」のLLM + RAG環境を構築してみた - Qiita https://qiita.com/y-okayama-tb/items/0127a7c5203f44507474#Apple #LLM #news #bot

LLM RAG

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