#RAG

Mastodon discussion Jun 24

🚀 Fastest-growing AI projects today1. The growth continues with several new tools emerging that leverage vector database...

🚀 Fastest-growing AI projects today1. The growth continues with several new tools emerging that leverage vector databases for...2. Happy-Chen-CH/Educational_RAG_System an intellige...

RAG

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Dev.to tutorial Jun 24

RAG in production: the failure modes nobody warns you about

Retrieval-augmented generation looks trivial in a tutorial: embed some documents, drop them in a...

RAG

12

Mastodon discussion Jun 24

Part 4 of my local AI series is out — I gave my Ollama Discord bot a knowledge base using RAG.Stack: ChromaDB + nomic-em...

Part 4 of my local AI series is out — I gave my Ollama Discord bot a knowledge base using RAG.Stack: ChromaDB + nomic-embed-text (768-dim embeddings) + discord.py. Everything runs ...

RAG

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Dev.to tutorial Jun 24

Two Patterns for Reducing LLM Costs in Data-Heavy RAG Apps

How we cut token usage significantly in an F1 telemetry analyzer by rethinking what goes into the...

LLM RAG

20

Dev.to tutorial Jun 23

Deploying Qdrant Open-Source Vector Database for AI Applications on Ubuntu 24.04

Qdrant is an open-source vector database for AI applications, optimised for similarity search over...

RAG Open Source

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Dev.to tutorial Jun 23

I added a reranker to my RAG pipeline — it broke everything, then I fixed it

In v2 I added hybrid retrieval (FAISS + BM25) to fix keyword blindspots. All 19 test questions...

RAG

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GitHub Trending repo Jun 23

Emmimal/context-graph-benchmark: A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.

A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.

LLM RAG Benchmark

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Mastodon discussion Jun 23

🧠 Why most AI apps fail in production:1. Hallucinations not handled → RAG solves this2. No fallback when LLM is down → C...

🧠 Why most AI apps fail in production:1. Hallucinations not handled → RAG solves this2. No fallback when LLM is down → Circuit breakers3. Costs explode at scale → Cache aggressivel...

LLM RAG

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Mastodon discussion Jun 23

Где заканчивается вызов LLM и начинается backend система: локальный RAG на FastAPI и OllamaХотел разобраться где заканчи...

Где заканчивается вызов LLM и начинается backend система: локальный RAG на FastAPI и OllamaХотел разобраться где заканчивается простой вызов локальной LLM и начинается backend сист...

LLM RAG

18

Dev.to tutorial Jun 22

RAG Systems with Claude: From Documentation to Production

Meta: Build production-grade RAG systems using Claude and vector search. Step-by-step guide to...

Anthropic RAG

12

Dev.to tutorial Jun 22

I Built RAG From Scratch in Python to Understand It. Here's What I Learned.

Every RAG tutorial I read used LangChain or LlamaIndex and hid the interesting parts. So I built a 500-line RAG pipeline with no frameworks — just pypdf, ChromaDB, and Ollama. The ...

RAG

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Dev.to tutorial Jun 22

Build a Local RAG Chatbot in 30 Minutes with .NET 8, Ollama, and React

I built a PDF question-answering chatbot in .NET 8 + React that runs entirely on my laptop — no API keys, no cloud, no monthly bill. The whole thing is 9 source files, ~400 lines, ...

RAG

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Dev.to tutorial Jun 22

How to Evolve a Linear LangChain RAG Pipeline into a Stateful, Multi-Agent Consensus Architecture

We’ve all built the classic, straight-line RAG pipeline: chunk a document, toss it into a vector...

RAG

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Dev.to tutorial Jun 22

Why My RAG App Kept Hallucinating (and How I Fixed It)

A few months ago I was demoing my RAG-powered support bot to a colleague, feeling pretty confident...

RAG

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Dev.to tutorial Jun 22

Agentic RAG: Designing Self-Correcting Retrieval Loops for Production

Standard RAG retrieves once and hopes for the best. Agentic RAG retrieves, reflects, decides it was...

RAG Agents

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Dev.to tutorial Jun 22

Manticore Search 27.1.5: Authentication, sharded tables, conversational search and faster vector search

Manticore Search 27.1.5 has been released. This release brings built-in authentication and...

RAG

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Dev.to tutorial Jun 22

Why Twio Chose Vertex AI Search over pgvector for Production RAG

When we first built RAG at Twio, pgvector was the obvious pick. Our business data was already in...

RAG

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Papers with Code paper Jun 22

ChartWalker: Benchmarking the Cross-Chart RAG Task

Cross-Chart Retrieval-Augmented Generation (RAG) is critical for complex multi-modal analytical tasks in scientific, business, and political domains. However, existing benchmarks e...

RAG

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Mastodon discussion Jun 22

RAG не только для вопросов и ответов: почему он естественно подходит для рекомендацийRetrieval-Augmented Generation (RAG...

RAG не только для вопросов и ответов: почему он естественно подходит для рекомендацийRetrieval-Augmented Generation (RAG) чаще всего рассматривается в контексте вопросно-ответных с...

RAG

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Dev.to tutorial Jun 21

De-mystifying the GenAI Stack: From LLMs to RAG (A Systems Perspective)

As a backend engineer who has spent more than a decade designing distributed systems, asynchronous...

RAG

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Mastodon discussion Jun 21

Learned #RAG and #Agents for using the #LLM Api with free #llmzoomcamp course.

Learned #RAG and #Agents for using the #LLM Api with free #llmzoomcamp course.

LLM RAG API

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Dev.to tutorial Jun 21

Building a RAG System With Chinese AI Models: Complete Tutorial

Building a RAG System With Chinese AI Models Retrieval-Augmented Generation (RAG) is the...

RAG

12

Dev.to tutorial Jun 21

# Vector Search and RAG: A Primer

A short learning path from a weekend project: I indexed my personal markdown notes (~800 chunks),...

RAG

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Dev.to tutorial Jun 21

why a simple string match beat apple's nlembedding for local rag

Why a simple string match beat Apple's NLEmbedding for local RAG how apple's nlembedding drove me...

RAG

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