knowledge base
30 articles about knowledge base in AI news
Future-Proof Your AI Search: Why Static Knowledge Bases Fail Luxury Retail
New research reveals AI retrieval benchmarks degrade over time as information changes. For luxury brands using AI for product recommendations and clienteling, this means static knowledge bases become stale, hurting customer experience and sales.
Build a Self-Healing Support Loop with Aidbase MCP
Aidbase MCP's write tools let Claude Code update your support knowledge base from the terminal, turning documentation sync into a deploy-time step rather than a manual chore.
Omar Sarayra Builds LLM Artifact Generator for AI Knowledge Discovery
Omar Sarayra created a system that transforms dense LLM knowledge bases into consumable visual artifacts, like a pulse on HN AI discussions. He argues this format could become a new medium for staying current.
How Anthropic's Team Uses Skills as Knowledge Containers (And What It Means For Your CLAUDE.md)
Learn how to use Claude Code skills not just for automation but as living knowledge bases, following patterns from Anthropic's own engineering team.
Distillery 0.4.0 Stabilizes Its MCP API
Distillery 0.4.0 stabilizes its MCP API surface, enabling reliable agent memory and team knowledge bases for Claude Code workflows.
Omar Saadoun's PaperWiki AI Agents Now Generate Personalized Research Surveys
Omar Saadoun announced that his PaperWiki platform now uses AI agents to generate personalized survey papers from a user's LLM-generated knowledge base. These surveys are self-improving and update automatically as new papers are published.
Developer Builds LLM Wiki 'Second Brain' for AI Coding Agents
A developer built an 'LLM Wiki' that feeds an AI coding agent's context window with a living knowledge base of a specific codebase. This aims to solve the agent's short-term memory problem, leading to more consistent and informed code generation.
How This Developer Built a Production-Ready RAG System with Claude Code in One Weekend
A developer used Claude Code to create a structured JSON-to-PDF knowledge base with 105 quotes, demonstrating how to build RAG-ready datasets faster than ever.
RAG Eval Traps: When Retrieval Hides Hallucinations
A new article details 10 common evaluation pitfalls that can make RAG systems appear grounded while they are actually generating confident nonsense. This is a critical read for any team deploying RAG for customer service or internal knowledge bases.
How Non-Developers Can Use `claude --resume` and CLAUDE.md to Save Hours
Stop losing your work and repeating yourself. Use `claude --resume` to recover sessions and CLAUDE.md as a permanent knowledge base for any project.
Perplexity CEO Reveals Key Distinction Between AI Search and Traditional Models
Perplexity CEO Aravind Srinivas explains how their 'Personal Computer' approach fundamentally differs from OpenAI's models, emphasizing real-time information retrieval over static knowledge bases. This distinction highlights the evolving landscape of AI-powered search tools.
GitNexus Open Sources Codebase Knowledge Graph Engine for AI Agents
GitNexus, an open-source knowledge graph engine, autonomously indexes codebases to map dependencies and execution flows. It integrates with Claude Code, Cursor, and Windsurf via MCP to give AI agents architectural awareness, preventing breaking changes.
GitNexus Revolutionizes Code Exploration: Browser-Based AI Transforms GitHub Repositories into Interactive Knowledge Graphs
A new tool called GitNexus transforms any GitHub repository into an interactive knowledge graph with AI chat capabilities, running entirely in the browser without backend infrastructure. This breakthrough enables developers to visualize and query complex codebases through intuitive graph interfaces and natural language conversations.
Andrej Karpathy's Personal Knowledge Management System Uses LLM Embeddings Without RAG for 400K-Word Research Base
AI researcher Andrej Karpathy has developed a personal knowledge management system that processes 400,000 words of research notes using LLM embeddings rather than traditional RAG architecture. The system enables semantic search, summarization, and content generation directly from his Obsidian vault.
Graphify Turns Codebases Into Queryable Graphs Without Vectors or LLMs
Graphify maps codebases into local knowledge graphs using tree-sitter AST parsing, no LLMs or vector stores. At 82k+ stars, it supports 40+ languages and 20+ AI assistants.
Harvard Study Finds AI Models Withhold Medical Advice Based on User Identity
A Harvard study reveals that major AI models possess detailed medical knowledge but selectively withhold it based on the user's stated identity. When asked as a 'psychiatrist,' a model gave a precise benzodiazepine taper plan; when asked as a patient, it refused.
Graph-Based Recommendations for E-Commerce: A Technical Primer
An overview of how graph-based recommendation systems work, using knowledge graphs to connect users, items, and attributes for more accurate and explainable product suggestions in e-commerce.
Neo4j-backed course teaches agentic knowledge graph construction
Neo4j and Andreas Kollegger released a free course on agentic knowledge graph construction using Google's ADK, promising better grounding than RAG. The course teaches parallel processing of CSV and text into a linked graph.
EDB Postgres AI Outperforms Vector Databases for Agentic AI Workloads
EDB claims its Postgres AI beats dedicated vector databases, lakehouses, and document stores on speed, accuracy, and cost for agentic AI. The benchmark results suggest potential cost savings for enterprises building AI agents.
MACCHA: The File-Based Cross-Agent Brain That Makes Claude Code Remember
MACCHA solves Claude Code's cold-start problem with a file-based 7-tier memory system. Use it to persist preferences, project rules, and lessons across sessions without a daemon.
Lung-R1-14B Tops EMR Diagnosis with Knowledge Graph-Guided RL
Lung-R1-14B scored 4.3583 on EMR diagnosis, beating 20 systems using a 59K-node knowledge graph and RL-constrained reasoning.
Neo4j's agent-memory: Open-source unified memory for AI agents via knowledge graphs
Neo4j releases agent-memory, an open-source unified memory layer for AI agents using knowledge graphs, enabling persistent structured recall.
How a Nursing Student Used Claude Haiku to Build a 660K-Page Drug Database Solo
Learn how Claude Haiku enabled a solo developer to classify thousands of medical conditions and build a production-grade pharmaceutical database.
FalkorDB: Graph Database for Multi-Hop AI Queries in Milliseconds
FalkorDB, an open-source graph database, stores connections as a sparse matrix to accelerate multi-hop queries by 100x. Combined with built-in vector search, it enables GraphRAG systems that answer complex relational questions without pre-built articles.
CodeRabbit AI Absorbs Codebase History, Reduces 'Bus Factor' Risk
A developer's tweet highlights CodeRabbit's ability to remember a team's codebase history and past decisions, directly addressing the 'bus factor' problem of over-reliance on senior engineers.
Andrej Karpathy's LLM-Wiki Framework Solves AI Amnesia with Persistent Knowledge
Andrej Karpathy published a two-page framework called LLM-Wiki that transforms how AI systems handle accumulated knowledge. Instead of retrieving from raw documents each time, the AI compiles sources into its own structured wiki that persists across sessions.
FORGE Benchmark Reveals Domain Knowledge
Researchers introduced FORGE, a multimodal dataset with 2D/3D data and fine-grained annotations for manufacturing. Evaluating 18 MLLMs revealed domain knowledge, not visual grounding, is the key bottleneck, with fine-tuning offering a clear path forward.
Developer Ships LLM-Powered Knowledge Graph Days After Karpathy Tweet
Following a tweet by Andrej Karpathy, a developer rapidly built and released a working implementation of an LLM-powered knowledge graph on GitHub, showcasing the speed of open-source AI development.
Graphify: Open-Source Tool Builds Knowledge Graphs from Code & Docs in One Command
Developer shipped Graphify, an open-source tool that builds queryable knowledge graphs from code, docs, and images in one command. It uses a two-pass pipeline with tree-sitter and Claude subagents, achieving 71.5x fewer tokens per query versus reading raw files.
Code-Review-Graph Cuts Claude Token Usage 8.2x with Local Knowledge Graph
A developer released 'code-review-graph,' an open-source tool that uses Tree-sitter to build a persistent structural map of a codebase. This allows Claude to read only relevant files, cutting average token usage by 8.2x across six real repositories.