knowledge base

16 items

ARTICLE↑ trendingReddit r/MachineLearning·4/22/2026

I built a new category of AI called a Reductive Inference Model (RIM) that answers by elimination instead of generation — AMA [P]

POEM (Process Of Elimination Master) is a novel AI architecture that answers questions by progressively eliminating impossibilities rather than generating possibilities, operating independently of LLMs. It achieves 88% accuracy, is 95.5x faster, and 100x smaller than TinyLlama 1.1B, demonstrating significant computational efficiency.

AI architecture inference Computational Efficiency sustainable AI

ARTICLEDEV.to AI·4/20/2026

RAG vs. Lucene: Architecting AI Knowledge Bases for On-Premises Customer Support Systems

The creator of ShenDesk, an on-premises customer support system, announces its enterprise-grade maturity and plans to document its development in a series of articles. The content will explore AI knowledge base architecture, including a comparison between RAG and Lucene.

AI architecture RAG knowledge base customer support

ARTICLEDEV.to AI·4/14/2026

Building Claude Skills That Connect to Obsidian: A Developer's Field Guide

This content details how to build Claude skills that enable Claude Code to connect with Obsidian, solving the issue of AI agents unable to read local knowledge bases. It explains the architecture of these composable skills, which are portable prompt and tool bundles distributed via Claw Mart.

Claude skills Obsidian Claude Code AI agent

ARTICLEDEV.to AI·18d ago

BoTTube: The AI Video Platform Where Every Upload Improves the Network

BoTTube is an AI-native video platform designed to reward quality content, where every upload enhances the network. It functions as an AI-accessible knowledge base, with videos semantically indexed and queryable by AI agents.

video AI platform decentralization knowledge base

ARTICLEDEV.to AI·25d ago

Why your local LLM knowledge base gives bad answers (and how to fix it)

Local LLMs often provide poor answers from personal knowledge bases, not due to the model itself, but due to issues in the retrieval layer. This article explores the frustrating problem and how the retrieval pipeline works.

Retrieval Augmented Generation knowledge base Local AI LLM

ARTICLEDEV.to AI·28d ago

Why I Used SHA-256 to Solve a Problem Most RAG Tutorials Pretend Doesn't Exist

The article addresses a common but often overlooked problem in RAG systems: efficiently updating knowledge bases without re-embedding all documents. It introduces GridMind, an offline RAG assistant, which solves this challenge by using SHA-256 for incremental updates, crucial for resource-constrained environments.

RAG Embedding knowledge base technical solution

ARTICLEDEV.to AI·10d ago

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned

The author developed Knovex, a local-first, AI-powered desktop knowledge base that prioritizes data privacy. This article explores the architectural decisions and technical challenges encountered while building this tool that avoids uploading documents to the cloud.

RAG engine security knowledge base AI

ARTICLEDEV.to AI·26d ago

Giving AI agents knowledge they were never trained on

The docs-mcpserver tool enables AI agents to access specific knowledge, such as internal specifications or particular library versions, by reading various documentation formats like Markdown, API references, and schemas. This helps LLMs code accurately without guessing APIs or wasting tokens on extensive parsing.

LLMs Software Development documentation knowledge base

ARTICLEDEV.to AI·24d ago

Why Your Content Pipeline Needs Deduplication Before Anything Else

This article highlights the critical importance of deduplication in content ingestion pipelines, particularly for knowledge bases handling thousands of developer articles. It explains how a lack of proper deduplication leads to bloated knowledge bases, inefficient RAG retrieval, and redundant content for users.

content pipeline data management deduplication RAG

RESEARCHarXiv CS.CL·4/9/2026

LLM-Augmented Knowledge Base Construction For Root Cause Analysis

Este estudo avalia metodologias de Large Language Models (LLM) – Fine-Tuning, RAG e uma abordagem Híbrida – para construir uma base de conhecimento de Análise de Causa Raiz (RCA) a partir de tickets de suporte. Os experimentos com um conjunto de dados industrial real demonstram que a base de conhecimento gerada acelera as tarefas de RCA e melhora a resiliência da rede.

RAG knowledge base Fine-tuning LLM

DOCDEV.to AI·22d ago

RAG Series (19): Incremental Updates — Keeping the Knowledge Base Fresh

This article addresses the challenge of keeping knowledge bases fresh in RAG systems, outlining the choice between a costly full rebuild and a more efficient incremental update. It highlights how LangChain's Indexing API implements the incremental update method to optimize the process.

Vector Index LangChain Incremental Updates RAG

ARTICLEDEV.to AI·24d ago

How I Built a Production Content Pipeline for a Developer Knowledge Base

This article details the construction of a production-scale content ingestion pipeline for a developer knowledge base. It addresses challenges like noise, duplication, and quality scoring, describing the stages of Fetch, Extract, Dedup, Score, Route, Store, and CDN, and highlighting the use of Mozilla's Readability algorithm.

RAG pipeline production architecture Content ingestion knowledge base

DOCDEV.to AI·4/25/2026

Tian AI Knowledge Base: Million Entries on Your Phone

Tian AI developed a local, million-entry knowledge base stored in a single SQLite file, searchable in milliseconds, to augment smaller LLMs on phones. This system uses a KnowledgeRetriever to either directly answer queries or inject relevant context into the LLM prompt for augmented responses.

SQLite RAG on-device AI knowledge base

ARTICLEDEV.to AI·4/10/2026

Building Cross-Project Knowledge Base for the AI Era with Vault System

O artigo apresenta o sistema Vault do projeto HagiCode, que visa unificar o acesso a materiais de aprendizado dispersos para assistentes de IA através de uma camada de abstração de armazenamento. Isso permite a compreensão e o reuso de conhecimento entre projetos, superando os desafios da fragmentação de conteúdo na era da IA.

Cross-Project Learning Vault System knowledge base AI Assistants

ARTICLEDEV.to AI·4/13/2026

Karpathy's LLM Knowledge Base SEO: I applied the pattern for 12 months and here's what I learned

The article describes applying Andrej Karpathy's LLM-driven personal knowledge base method to manage SEO research over 12 months. This approach involved using an LLM to distill raw sources into structured markdown wiki pages within an Obsidian vault, avoiding SaaS lock-in and vector databases.

Obsidian Andrej Karpathy knowledge base SEO

ARTICLEDEV.to AI·4/8/2026

How We Use RAG for Knowledge Base Search in AutoBot

O artigo descreve como o AutoBot utiliza a Geração Aumentada por Recuperação (RAG) para transformar o conhecimento disperso de equipes em respostas inteligentes e instantâneas. Ele explica a importância do RAG para pesquisar a documentação real da equipe, superando a busca por palavras-chave tradicionais e resolvendo o desafio de encontrar informações críticas durante incidentes.

documentation RAG search knowledge base