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# rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

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RAG FOR DUMMIES
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RAG FOR DUMMIES

6
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2 min read
How We Turned Our Notion Playbook into a Slack Assistant with a Low-Code RAG Stack
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How We Turned Our Notion Playbook into a Slack Assistant with a Low-Code RAG Stack

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4 min read
RAG-based Presentation Generator built with Kiro
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RAG-based Presentation Generator built with Kiro

12
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6 min read
Your RAG is Basic. Here's the KG-RAG Pattern We Used to Build a Real AI Agent.

Your RAG is Basic. Here's the KG-RAG Pattern We Used to Build a Real AI Agent.

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2 min read
Renting GPT vs. Building Your Own AI: The True Cost of Chatbots
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Renting GPT vs. Building Your Own AI: The True Cost of Chatbots

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3 min read
**"Stop Breaking Context: Smarter Text Chunking for Python NLP Projects"**
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**"Stop Breaking Context: Smarter Text Chunking for Python NLP Projects"**

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2 min read
Moving Your Vector Database from ChromaDB to Milvus

Moving Your Vector Database from ChromaDB to Milvus

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10 min read
Evolving My AI Journal: From Python MCPs to Rust Scripts and Claude Code
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Evolving My AI Journal: From Python MCPs to Rust Scripts and Claude Code

1
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9 min read
Comprehensive Guide to Selecting the Right RAG Evaluation Platform

Comprehensive Guide to Selecting the Right RAG Evaluation Platform

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7 min read
Build a Production Multi-Agent System with LangGraph and LaunchDarkly in 20 Minutes
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Build a Production Multi-Agent System with LangGraph and LaunchDarkly in 20 Minutes

Comments 1
9 min read
Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering
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Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

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8 min read
Extending AI Agents by Adding Infinite Context Memory
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Extending AI Agents by Adding Infinite Context Memory

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3 min read
The hidden cost of evaluation loops

The hidden cost of evaluation loops

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1 min read
Batch Vector Search with PgVector and PostgreSQL Using Cross Lateral Joins

Batch Vector Search with PgVector and PostgreSQL Using Cross Lateral Joins

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6 min read
The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors
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The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors

2
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3 min read
NuMarkdown-8B-Thinking: The Open-Source Reasoning OCR that Converts PDFs to Auditable Markdown for Enterprise RAG Pipelines
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NuMarkdown-8B-Thinking: The Open-Source Reasoning OCR that Converts PDFs to Auditable Markdown for Enterprise RAG Pipelines

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10 min read
Does anyone know what will be sent to LLM when I use Github copilot?

Does anyone know what will be sent to LLM when I use Github copilot?

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1 min read
From Brittle to Brilliant: A Developer's Guide to Building Trustworthy Graph RAG with Local LLMs
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From Brittle to Brilliant: A Developer's Guide to Building Trustworthy Graph RAG with Local LLMs

2
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3 min read
Lessons & Practices for Building and Optimizing Multi-Agent RAG Systems with DSPy and GEPA

Lessons & Practices for Building and Optimizing Multi-Agent RAG Systems with DSPy and GEPA

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6 min read
🧠 GenAI as a Backend Engineer: Part 3 — RAG with LlamaIndex

🧠 GenAI as a Backend Engineer: Part 3 — RAG with LlamaIndex

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4 min read
Building a RAG System with Vertex AI, Pinecone, and LangChain (Step-by-Step Guide)

Building a RAG System with Vertex AI, Pinecone, and LangChain (Step-by-Step Guide)

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6 min read
Building NeuroStash - VI

Building NeuroStash - VI

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3 min read
Building with Generative AI: Lessons from 5 Projects Part 1: RAG
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Building with Generative AI: Lessons from 5 Projects Part 1: RAG

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8 min read
How to make Cursor an Agent that Never Forgets and 10x your productivity
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How to make Cursor an Agent that Never Forgets and 10x your productivity

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4 min read
How the Pool Pattern Works in Multi-tenant RAG
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How the Pool Pattern Works in Multi-tenant RAG

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2 min read
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