What is AIKMS? #

AIKMS Home
AIKMS is a working title of a tool which I am developing to integrate logseq better into my workflows by automation of tasks such as adding Web-Resources, etc. It had been proven incredibly helpful in managing my own needs, and now it’s reached a point where I’m starting to wonder if it could offer similar benefits to others.
The challenge, however, is that bringing a tool like this to a wider audience involves a significant leap in commitment and resources. What works perfectly for my individual setup, without needing strict security audits or continuous updates, would require a whole new level of development for a public release. We’re talking about robust security protocols, frequent maintenance, ongoing technical support, and ensuring it can scale reliably for diverse users—all aspects that are simply beyond my current capacity to manage independently.
So, I find myself at a crossroads. While I’m genuinely excited about the potential value this tool could offer, I lack the necessary resources to develop and maintain it to a public-ready standard. This is where I’m hoping to find support—perhaps in the form of collaboration, expertise, or even resources—to explore if this personal project can evolve into something that truly benefits a larger community, without compromising on quality or sustainability.
I’m keen to discuss this further and see if there’s a path forward that aligns with shared goals.
How I use AIKMS: #
Data Ingestion Tool #
- Download web artefacts (web-page, audio, video, PDF, etc.) and add it´s content to my KMS
- Uploading emails to the journal
Media Converter #
- Creating transcripts from audio and video to make its content searchable
- Create a markdown version of websites
Translater #
- Translate content
Semantic Search Tool #
- Automatically create embeddings for content for semantic search.
Integration of Generative AI and Natural Language Processing #
Summarization #
Probably the most often used feature. Getting a summary for web artefact saves me hours of reading time.
Key point extraction #
Key point extraction provides me with highly specific, often verbatim, essential facts that are crucial for direct use. It´s particularly valuable to quickly identify critical entities, dates, or concepts, rather than a narrative overview.
Anonymizer #
Anonymizing content is useful when working with public Large Language Models. However, depending on the level of confidentiality required I perform a manual check of the outcome of the anonymization process.
Prompt manager #
“Writing good prompts is an art” so they say so when I have developed a prompt that provides a desired outcome or come across useful one doing my research I´store them in my prompt repository.
Why I developed my own tool #
- Ensure a tight integration with my preferred Knowledge Management System
- We are still in an early stage, a consolidation of AI tools is inevitable and I do not want to become victim of it.
- I wanted to better understand the technology and challenges
- I have some rather uncommon use cases (e.g. multilingual environment DE, EN and ES)
- I aim to have full control over my application stack
- … and: It´s fun!