Master RAG Systems: Build an End-to-End LangChain Pipeline with Milvus, Reranking & Azure OpenAI 🚀
Beyond Basic RAG: Learn LangChain + RAG End-to-End 🚀 ...
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640 articles tagged with RAG
A naive RAG pipeline pulls 281 docs to deliver 25. Real backpressure pulls 40. How WorkIt paces the producer to consumer...
A naive RAG pipeline pulls 281 docs to deliver 25. Real backpressure pulls 40. How WorkIt paces the producer to consumer demand in Node.js & TypeScript. https://hackernoon.com/back...
How I Built an AI-Powered Incident RCA Platform with LangGraph and RAG
It’s 2:13 AM. A payment API suddenly starts failing in production. Customers can’t complete...
NeXra-AI/awesome-ai-image-prompts: Prompt-as-Code library — 955 curated prompts for GPT-Image-2, Nano Banana, Seedance and more. RAG-ready, multi-language (zh/en/ms).
Prompt-as-Code library — 955 curated prompts for GPT-Image-2, Nano Banana, Seedance and more. RAG-ready, multi-language (zh/en/ms).
🧠 What is RAG (Retrieval-Augmented Generation) and why it matters in 2026:RAG = LLM + Your Own DataInstead of retraining...
🧠 What is RAG (Retrieval-Augmented Generation) and why it matters in 2026:RAG = LLM + Your Own DataInstead of retraining models, you inject relevant context at query time. Result? ...
I built a local-first movie recommender with Corrective-RAG (cited explanations, hybrid retrieval, runs entirely on Ollama)
Hey — sharing a project I've been building for the last few months. It's a movie recommendation...
От RAG-прототипа к агенту в продакшн: путь по метрикам, а не по модеНа связи Сергей Смирнов, AI-инженер LLMStart.ru. Сег...
От RAG-прототипа к агенту в продакшн: путь по метрикам, а не по модеНа связи Сергей Смирнов, AI-инженер LLMStart.ru. Сегодня расскажу о полноценном кейсе, который мы делали для ком...
turbovec: Local RAG Without the 60 GB Tax
A 1536-dimensional float32 embedding is 6 KB. A corpus of 10 million documents is roughly 60 GB of...
Building a Local-Only RAG System with Ollama and TypeScript
Building a Local-Only RAG System with Ollama and TypeScript Most RAG tutorials send your...
RAG Explained: How Retrieval-Augmented Generation Actually Works
A visual walkthrough of RAG's two pipelines — ingestion and query — covering chunking, embeddings, vector databases, and why it beats sending all your text to an LLM.
RAG в энтерпрайзе: почему демо работает, а прод нетПредставьте себе типичное совещание. Кто-то из руководства возвращает...
RAG в энтерпрайзе: почему демо работает, а прод нетПредставьте себе типичное совещание. Кто-то из руководства возвращается с конференции, садится напротив и говорит: «У них там бот...
Building a Go-based CLI tool to export Confluence spaces to local Markdown files for RAG pipelines, offline docs, and Gi...
Building a Go-based CLI tool to export Confluence spaces to local Markdown files for RAG pipelines, offline docs, and Git-based knowledge management. https://hackernoon.com/meet-co...
Cost-efficiency is everything in production AI! I build custom agents with LangGraph + RAG — affordable alternatives to ...
Cost-efficiency is everything in production AI! I build custom agents with LangGraph + RAG — affordable alternatives to expensive platforms, starting $20 💼 #AI #LangChain
Most developers overcomplicate AI agents.My production stack 👇🔀 LangGraph — agent flow control🔍 RAG + Pinecone — searche...
Most developers overcomplicate AI agents.My production stack 👇🔀 LangGraph — agent flow control🔍 RAG + Pinecone — searches your docs 🐍 FastMCP — runs Python code live🧠 PostgreSQL — ...
Building a RAG Document Q&A System with Hybrid Retrieval (No Embeddings API Needed)
Building a production-quality RAG (Retrieval-Augmented Generation) system taught me one thing: the...
Most teams reach for fine-tuning when they should be using RAG.The confusion usually comes from one thing people know wh...
Most teams reach for fine-tuning when they should be using RAG.The confusion usually comes from one thing people know what both are, but nobody gives a clear way to decide.Here's t...
Four production pitfalls that turn RAG demos into broken chatbots
A perfect 50-question demo on Tuesday. By the second week of production, users were filing tickets faster than the team could close them. The model had not changed. The retrieval p...
Multimodal RAG: when summary-based stops being enough
A founder asked why their AI assistant kept saying 'the chart shows a positive trend' instead of reading the actual numbers. The pipeline was doing exactly what it was designed to ...
LMIM OS v2.1 "Tezcat · Sharpened" drops tomorrow.This isn't a patch. It's a different animal:• RAG Lite — drop a PDF, as...
LMIM OS v2.1 "Tezcat · Sharpened" drops tomorrow.This isn't a patch. It's a different animal:• RAG Lite — drop a PDF, ask anything about it• Workspace sandbox — point LMIM at a fol...
How We Built a Production RAG Chatbot for a Client in 72 Hours (Full Stack Breakdown)
A client messaged us on a Tuesday night. By Friday afternoon, their customer support chatbot was live...
Show HN: I built a RAG and knowledge graph agent that runs locallyhttps://news.ycombinator.com/item?id=48248801#HackerNe...
Show HN: I built a RAG and knowledge graph agent that runs locallyhttps://news.ycombinator.com/item?id=48248801#HackerNews #Tech #AI
Building a Private RAG System: Lessons from a Local-First AI Journal
Most AI apps quietly send your data to the cloud. DiaryGPT does the opposite — and this is the full...
study8677/awesome-architecture: 🗺️ Think like a software architect, not just a coder — 21 architecture maps (incl. AI gateway, RAG, agents, inference serving, vector DB) + a language-agnostic system-design tutorial. Every template links to real open-source prototypes. 中英文双语。
🗺️ Think like a software architect, not just a coder — 21 architecture maps (incl. AI gateway, RAG, agents, inference serving, vector DB) + a language-agnostic system-design tutori...
From Manual RAG to Real Retrieval — Embedding-Based RAG with NVIDIA NIM
Replace hardcoded context with real retrieval using NVIDIA's nv-embedqa-e5-v5 embedding model. Cosine similarity, the query vs passage input distinction most beginners get wrong, n...