#RAG | AI Hub

Mastodon discussion 17h ago

⭐ An under-the-radar open-source tool: WeaviateWeaviate is an open-source vector database with built-in vectorization mo...

⭐ An under-the-radar open-source tool: WeaviateWeaviate is an open-source vector database with built-in vectorization modules, hybrid search and a GraphQL AP…⚡ Olud Pulse: 49/100ht...

RAG Open Source

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Dev.to tutorial 18h ago

Build a Codebase Intelligence Tool Like repowise With a RAG-Assisted MCP for Your Monorepo

Step-by-step guide to building a local codebase intelligence layer using RAG and an MCP server for your monorepo, enabling AI-powered code understanding and retrieval.

RAG MCP

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Mastodon discussion 19h ago

Researchers introduce SEAG, a privacy-preserving framework for RAG that replaces sensitive entities with aliases before ...

Researchers introduce SEAG, a privacy-preserving framework for RAG that replaces sensitive entities with aliases before sending queries and documents to external LLMs.Source: arXiv...

RAG

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Dev.to tutorial 20h ago

Building an AI Customer Support SaaS with Django, RAG and Self-Hosted LLMs

Building an AI Customer Support SaaS with Django, RAG and Self-Hosted LLMs Over the past several...

RAG

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Dev.to tutorial 21h ago

I Built a RAG Pipeline in TypeScript Without LangChain — The Whole Thing in 200 Lines

A retrieval pipeline built by hand in six files — the data structures behind each stage, the four bugs that cost me the most time, and the answer it made up that I left in the repo...

RAG

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Mastodon discussion 1d ago

Hybrid search RAG combines semantic vector search and keyword search into one retrieval pipeline so a document assistant...

Hybrid search RAG combines semantic vector search and keyword search into one retrieval pipeline so a document assistant can find both conceptually related content and exact matche...

RAG

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Dev.to tutorial 1d ago

How I Built a Multi-Tenant RAG Knowledge Base with Source-Cited Answers — Pipeline, Multi-Tenancy, and Lessons

Every "build a RAG chatbot" tutorial ends the same way: embed a few paragraphs, call...

RAG

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Dev.to tutorial 1d ago

Quando o RAG erra, quase nunca é o LLM: 4 falhas de recuperação e como logar cada uma

Todo problema de RAG parece problema do modelo. Quase nunca é. Demorei pra aceitar isso. Ficava...

LLM RAG

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Dev.to tutorial 1d ago

Semantic search for 796 pages, with no server, no vector database, and no model at query time

Our site has 796 pages of dense, cross-referenced, deliberately weird material: machine-checked...

RAG

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Dev.to tutorial 1d ago

I built a RAG assistant, then found out my architecture change made it worse

I built a RAG assistant, then found out my architecture change made it worse, and I'm glad...

RAG

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Mastodon discussion 1d ago

Строим RAG вручную: как это работает под капотомИмея некоторый опыт в построении классических ML и CV-проектов, я решил ...

Строим RAG вручную: как это работает под капотомИмея некоторый опыт в построении классических ML и CV-проектов, я решил разобраться в NLP (Natural Language Processing) и собрать св...

RAG

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Dev.to tutorial 1d ago

How to Build a No-Code AI Test Automation Agent Using RAG + Playwright MCP

AI-powered test automation is moving beyond simply generating Playwright or Selenium scripts. The...

RAG MCP

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Dev.to tutorial 1d ago

Why Did AWS Release Yet Another Vector Store?

Looking beyond the announcement to understand where Amazon DynamoDB Vector Search fits in AWS's growing AI storage portfolio.

RAG

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Mastodon discussion 2d ago

Честный RAG eval set: как собрать первые 100-300 кейсов и не обмануть себя цифройВ прошлой статье серии мы сжимали эмбед...

Честный RAG eval set: как собрать первые 100-300 кейсов и не обмануть себя цифройВ прошлой статье серии мы сжимали эмбеддинги и замеряли, насколько изменится выдача относительно по...

RAG Benchmark

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Mastodon discussion 2d ago

🚀 Fastest-growing AI projects today1. Among these tools, MoMoM101's RAG-ReActAgent stands out as a leader in leveraging ...

🚀 Fastest-growing AI projects today1. Among these tools, MoMoM101's RAG-ReActAgent stands out as a leader in leveraging the R...2. RAG-ReActAgent designed to enhance retrieval-augm...

RAG

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Dev.to tutorial 2d ago

Building a Multi-Agent AI Pipeline That Ships: LangGraph, RAG, and Evals That Matter

I spent 18 days building an AI product that converts research papers into audience-tailored...

RAG

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Dev.to tutorial 2d ago

RAG Is Not Enough: The Evolution of Enterprise AI

Author: Rajश्री | Software Engineer & Full Stack Developer Introduction For the...

RAG

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Dev.to tutorial 2d ago

Agentic RAG: making retrieval a decision the agent controls

Short answer Agentic RAG is retrieval-augmented generation where the agent decides when to retrieve,...

RAG Agents

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Mastodon discussion 3d ago

J'avance doucement sur “RAG in my pocket“, une application pour du RAG personnel sur #RaspberryPI 5 avec les #SLM de che...

J'avance doucement sur “RAG in my pocket“, une application pour du RAG personnel sur #RaspberryPI 5 avec les #SLM de chez Pleias : écriture de l'application #streamlit en cours dep...

RAG

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Mastodon discussion 3d ago

วิธีสร้าง RAG Pipeline ด้วย Haystack 2.0 ใน Python ในบทความนี้ ผมจะมาแนะนำการใช้ Haystack 2.0 ในการทำ RAG (Retrieval-Aug...

วิธีสร้าง RAG Pipeline ด้วย Haystack 2.0 ใน Python ในบทความนี้ ผมจะมาแนะนำการใช้ Haystack 2.0 ในการทำ RAG (Retrieval-Augmented Generation) pipeline ซึ่งเป็นการใช้งานหลักของ Haystac...

RAG

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