#RAG

Dev.to tutorial Oct 4

Access Revoked. Why Can Your RAG App Still Answer?

At 09:00, a user asks an internal assistant about Project Cedar. The retriever checks access, finds...

RAG

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Dev.to tutorial Oct 4

Vector Database Memory Sizing and Cost Math: How Much RAM Do 1 Million Vectors Need?

Vector Database Memory Sizing and Cost Math: How Much RAM Do 1 Million Vectors...

RAG

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Dev.to tutorial Oct 4

pgvector HNSW Filtering: My RAG Asked for 10 Rows and Got 0

pgvector HNSW filtering runs your WHERE clause after the index scan, so filtered RAG queries return fewer rows than LIMIT. Here's the fix.

RAG

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Dev.to tutorial Oct 4

Is It Still RAG If There's No Retrieval?

I've been shipping software for 28 years, 21 of them as a consultant working across over 100...

RAG

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Papers with Code paper Oct 4

Agentic RAG Evaluation: Budget Allocation Across Questions, Trajectories, and Reads

Evaluation budgets in agentic retrieval-augmented generation span questions, search trajectories, and repeated answers. We measure allocation precision, reading efficiency, and cos...

RAG Agents

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Dev.to tutorial Oct 4

RAG vs Fine-Tuning: Which One Does Your Business Actually Need?

"Should we fine-tune a model on our documents?" It's one of the most common questions I hear from...

RAG

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Mastodon discussion Oct 4

Imagine asking your AI assistant about last quarter's compliance report and getting a precise answer,...#ai #rag #llm #e...

Imagine asking your AI assistant about last quarter's compliance report and getting a precise answer,...#ai #rag #llm #enterprise #software #coding #development #engineering #inclu...

LLM RAG

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Mastodon discussion Oct 4

Imagine um assistente de IA capaz de responder perguntas sobre contratos, políticas internas e...#ai #rag #llm #enterpri...

Imagine um assistente de IA capaz de responder perguntas sobre contratos, políticas internas e...#ai #rag #llm #enterprise #software #coding #development #engineering #inclusive #c...

LLM RAG

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Mastodon discussion Oct 4

Everyone's building agents right now. But a better question than "can an agent do this?" is "when...#ai #llm #rag #datab...

Everyone's building agents right now. But a better question than "can an agent do this?" is "when...#ai #llm #rag #database #software #coding #development #engineering #inclusive #...

LLM RAG

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Dev.to tutorial Oct 4

When do AI agents actually matter? Benchmarking RAG vs GraphRAG vs Agentic GraphRAG on TigerGraph

Everyone's building agents right now. But a better question than "can an agent do this?" is "when...

RAG Agents

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Mastodon discussion Oct 3

VantaИнструмент для подготовки RAG-баз знаний из разрозненных файлов любого формата. 43 поддерживаемых формата файлов.va...

VantaИнструмент для подготовки RAG-баз знаний из разрозненных файлов любого формата. 43 поддерживаемых формата файлов.vanta извлекает текст из документов, таблиц, презентаций и мед...

RAG

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Dev.to tutorial Oct 3

Vector database showroom. Part 2: Chroma — The E-Scooter That Starts in 90 Second

🛴 Chroma — The E-Scooter That Starts in 90 Seconds pip install chromadb — and you're...

RAG

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Mastodon discussion Oct 3

📝 Neuer Blog-Beitrag: RAG-Frameworks 2026: LlamaIndex, LangChain/LangGraph, Haystack und Co. im VergleichWelches RAG-Fra...

📝 Neuer Blog-Beitrag: RAG-Frameworks 2026: LlamaIndex, LangChain/LangGraph, Haystack und Co. im VergleichWelches RAG-Framework passt 2026 zu Ihrem Projekt? Ein Vergleich von LlamaI...

RAG

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Mastodon discussion Oct 3

【ざっくり理解】ベクトルDBは新しい技術なのか？ ─ 1975年からRAGまで、古いものと新しいものを分けて見るhttps://qiita.com/Tadataka_Takahashi/items/1beb21af1b1371cf979d?...

【ざっくり理解】ベクトルDBは新しい技術なのか？ ─ 1975年からRAGまで、古いものと新しいものを分けて見るhttps://qiita.com/Tadataka_Takahashi/items/1beb21af1b1371cf979d?utm_campaign=popular_items&utm_medium=feed&utm_source=popula...

RAG

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Mastodon discussion Oct 3

🚀 Fastest-growing AI projects today1. One standout project leverages DynamoDB and S3 to offer serverless vector database...

🚀 Fastest-growing AI projects today1. One standout project leverages DynamoDB and S3 to offer serverless vector database capa...2. Additionally, developers exploring agentic engine...

RAG

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Dev.to tutorial Oct 3

5 RAG mistakes that looked fine in the demo and broke in production

Every RAG demo works. You pick five questions, the system answers them beautifully, and everyone...

RAG

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Mastodon discussion Oct 3

Running AWS Strands Decider 2B Locally: A Complete Setup Guide for AI Routing & Multi-RAG Systems#ai #aws #rag #python #...

Running AWS Strands Decider 2B Locally: A Complete Setup Guide for AI Routing & Multi-RAG Systems#ai #aws #rag #python #software #coding #development #engineering #inclusive #commu...

RAG

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Mastodon discussion Oct 3

🎬 Building Production RAG with Hermes Agent — Full Architecture Walkthroughhttps://youtu.be/_ifxk-CR90A#HermesAgent #AI ...

🎬 Building Production RAG with Hermes Agent — Full Architecture Walkthroughhttps://youtu.be/_ifxk-CR90A#HermesAgent #AI #OpenSource #AIAgents

RAG

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Dev.to tutorial Oct 2

Vector database showroom. Part 1 pgvector — The Station Wagon Already in Your Garage.

Welcome to the Vector Database Showroom — a guided tour through today's most popular vector...

RAG

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Mastodon discussion Oct 2

Welcome to the Vector Database Showroom — a guided tour through today's most popular vector databases, where we look pas...

Welcome to the Vector Database Showroom — a guided tour through today's most popular vector databases, where we look past the marketing brochures and judge each one by its real cos...

RAG

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GitHub Trending repo Oct 2

Tirthanand17/document-intelligence-rag-platform: AI/ML portfolio project combining Data Science, NLP, RAG, deep-learning embeddings, OCR/PDF workflows, evaluation, FastAPI, Docker, tests, and CI.

AI/ML portfolio project combining Data Science, NLP, RAG, deep-learning embeddings, OCR/PDF workflows, evaluation, FastAPI, Docker, tests, and CI.

RAG

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Mastodon discussion Oct 2

Семь занятий по локальному RAG на Python от файла до ответа с источникамиСделал бесплатный курс для тех кто хочет научит...

Семь занятий по локальному RAG на Python от файла до ответа с источникамиСделал бесплатный курс для тех кто хочет научиться создавать локальные ИИ приложения на Python. За семь зан...

RAG

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Mastodon discussion Oct 2

turbopuffer's "RIP, vector database" post sent me to look at our own notebook search.One pgvector HNSW index over every ...

turbopuffer's "RIP, vector database" post sent me to look at our own notebook search.One pgvector HNSW index over every team's chunks, team and notebook filtered in the WHERE, iter...

RAG

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GitHub Trending repo Oct 2

thinkingdev923/EstateWise-ChatBot: 🏠 An AI real estate app featuring secure auth, conversation management, & personalized property recommendations. Powered by Agentic AI, RAG (w/ Pinecone), GraphRAG (w/ Neo4j), MCP, kNN, K‑Means Clustering, CoT, LangGraph, and a Mixture‑of‑Experts ensemble to deliver accurate, effective, and scalable AI insights. Also features a VS Code extension!

🏠 An AI real estate app featuring secure auth, conversation management, & personalized property recommendations. Powered by Agentic AI, RAG (w/ Pinecone), GraphRAG (w/ Neo4j), MCP,...

RAG Agents MCP

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