Axiom is a decentralized AI network that autonomously discovers, verifies, and archives objective truth. It creates a permanent, anonymous, and incorruptible public knowledge base, free from control.
BackToIt is a comprehensive bookmarking app designed to streamline the way you manage and organize web links. It allows you to save, organize, and share bookmarks with ease, using just two clicks, and offers features like full-text search, reading time estimates, and customizable tags. The app is accessible across devices, ensuring your data is always at your fingertips, and it emphasizes security by avoiding ads and spam.
LLM-powered bookmark search engine that allows you to search from your local browser bookmarks using natural language.
This article explores how to incorporate images into a RAG (Retrieval-Augmented Generation) knowledgebase using Large Language Models (LLMs) with vision capabilities. It provides a step-by-step guide to collecting, uploading, and transcribing images for a richer and more detailed knowledgebase.
This article explains how to use Large Language Models (LLMs) to perform document chunking, dividing a document into blocks of text that each express a unified concept or 'idea', to create a knowledge base with independent elements.
This tutorial demonstrates how to construct a fully searchable, local AI knowledge base by integrating OpenKB with free Llama models accessed via OpenRouter. The workflow guides users through securely setting up an environment, initializing a structured wiki-style directory, and ingesting Markdown documents to automatically generate summaries, concept pages, and cross-linked relationships. Beyond simple data ingestion, the guide covers advanced features such as complex natural language querying, deep synthesis of information, health checks via "linting," programmatic analysis of knowledge graphs using Python, and incremental updates for expanding the corpus.
>"Building a knowledge base for AI models isn’t a one-time task but an iterative process of refinement."
Here are the six steps for building an efficient knowledge base:
* **Data Collection:** Collect high-value, relevant data.
* **Cleaning and Segmentation:** Clean the data and segment it into logical, metadata-tagged chunks to provide necessary context.
* **Vectorization:** Organize the information through vectorization (indexing).
* **Storage:** Store the data in specialized vector databases.
* **Retrieval Optimization:** Optimize retrieval using hybrid methods—combining keyword search with semantic embeddings via orchestration frameworks like LlamaIndex or LangChain.
* **Maintenance and Monitoring:** Establish automated update routines and utilize observability tools to monitor retrieval quality and prune outdated information through "selective forgetting."
Here are the six steps for building an efficient knowledge base:
* **Data Collection:** Collect high-value, relevant data.
* **Cleaning and Segmentation:** Clean the data and segment it into logical, metadata-tagged chunks to provide necessary context.
* **Vectorization:** Organize the information through vectorization (indexing).
* **Storage:** Store the data in specialized vector databases.
* **Retrieval Optimization:** Optimize retrieval using hybrid methods—combining keyword search with semantic embeddings via orchestration frameworks like LlamaIndex or LangChain.
* **Maintenance and Monitoring:** Establish automated update routines and utilize observability tools to monitor retrieval quality and prune outdated information through "selective forgetting."
This article explores a practical approach to building an LLM knowledge base by treating the model as a compiler rather than just a retrieval tool. Instead of relying solely on complex RAG systems and vector databases, the author proposes a structured workflow that transforms raw source material into a durable, organized wiki. This method focuses on creating lasting value through repeatable processes like indexing, compiling paper pages, developing concept maps, and filing query answers back into the system to create a continuous feedback loop.
Main points:
- Moving beyond traditional RAG toward an LLM-driven compilation workflow.
- Implementing a structured folder hierarchy including raw, wiki, derived, and prompts directories.
- The importance of creating concept pages that connect multiple sources rather than just summarizing individual papers.
- Establishing a feedback loop where query answers are saved back into the knowledge base.
- Using maintenance passes to ensure the system remains updated and cohesive.
Main points:
- Moving beyond traditional RAG toward an LLM-driven compilation workflow.
- Implementing a structured folder hierarchy including raw, wiki, derived, and prompts directories.
- The importance of creating concept pages that connect multiple sources rather than just summarizing individual papers.
- Establishing a feedback loop where query answers are saved back into the knowledge base.
- Using maintenance passes to ensure the system remains updated and cohesive.
The article addresses the common problem of "link rot," where bookmarked URLs eventually lead to dead pages or broken content. The author argues that traditional bookmarks and the standard "Save As" method are unreliable because they often fail to capture all necessary web assets like images and stylesheets. To solve this, the author recommends using the SingleFile browser extension. This open-source tool creates a pixel-perfect, self-contained HTML file of a webpage, bundling all CSS, fonts, and images into one document. This ensures that the archived page remains functional and visually identical even without an internet connection, providing a reliable way to preserve digital information for the long term.
The article discusses the app Noteey, which transforms how users learn, brainstorm, and remember by allowing them to create dynamic, visual maps of their knowledge. It highlights features like infinite canvas boards, versatile cards, PDF editing, digital journaling, local storage, and multiple use cases, making it suitable for various tasks from project management to creative writing.
