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A feature-rich, self-hosted interface for running and managing AI models offline or via cloud APIs.
Techniques that combine large language models with external knowledge retrieval systems (vector search, embeddings, document stores) to ground AI responses in real, up-to-date information and reduce hallucination.
A feature-rich, self-hosted interface for running and managing AI models offline or via cloud APIs.

Wiki Builder is a Claude Code plugin that automates the creation and maintenance of structured markdown knowledge bases for AI agents.

A structured markdown file system acts as a graph database that provides LLMs with the deep context needed for high-quality work.

LLMs should be used to incrementally build and maintain a persistent, interlinked markdown wiki rather than just performing one-off document retrieval.

ChromaFs is a virtual filesystem that maps UNIX commands to vector database queries to provide fast, low-cost documentation exploration for AI agents.

Building an enterprise-scale local RAG system requires transitioning from simple scripts to a robust architecture involving data filtering, persistent vector databases, and dedicated GPU hardware.

MSA is an end-to-end trainable framework that enables LLMs to process 100 million tokens efficiently using sparse attention and latent memory.
A developer created a custom RAG-powered AI voice agent to handle service inquiries and capture leads for a mechanic shop.

Atomic is a Rust-based tool that transforms markdown notes into an AI-augmented, searchable, and visually mapped knowledge graph.

Knowledge base poisoning is a persistent threat to RAG systems that is best countered by detecting semantic anomalies during the data ingestion process.

An autonomous AI agent hacked McKinseyās internal AI platform in two hours, exposing millions of confidential records and highlighting the urgent need to secure the prompt layer.

Cloudflare's new API endpoint simplifies website-wide data extraction by automating discovery and rendering into AI-friendly formats.

An internal, context-rich, self-correcting AI agent now powers fast, reliable data analysis across OpenAIās vast data stack.
Onyx is an open-source, enterprise-ready chat UI for any LLM that pairs a polished UX with deep tool and deployment capabilities to replace proprietary chat products.

As context windows explode, agentic navigation replaces RAGās retrieval pipelineāshifting the focus from vector databases to smart agents that read and reason end-to-end.

An open-source platform that connects to many apps and serves semantic search for agents via REST or MCP, with simple setup and SDKs.

ApeRAG is a production-grade, multimodal GraphRAG platform with AI agents and MCP, built for hybrid retrieval and scalable K8s deployment.

GPT-5 Thinking turns ChatGPT into a competent, mobile-friendly research agent that interleaves reasoning with web search and tools to deliver verifiable, deep resultsāprovided you guide and sanity-check it.
Use LLMs to act on provided facts, not as lossless sources of exact details.