Working to integrate various components to produce what i consider to be a new type of computing platform. Openlink Virtuoso, is sought to be employed as an instrumental part of this ecosystem.
I was looking for suggestions, examples, recommendations, feedback or considerations about whether and/or how the use of a Vector Database may both compliment the use of virtuoso, which examples or specific features are thought to be best considered, and any related, useful info.
A list of Vector DBs: Vector DB Comparison
I’m in the early stages of testing https://weaviate.io/ mostly due to its compatibility with Anything-LLM https://anythingllm.com/ ( github: GitHub - Mintplex-Labs/anything-llm: The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities. )
CONTEXT: Project Description:
- https://local-host.co/
- New notes being made: GitHub - WebizenAI/WebizenAI-2024: This repo is on the 2024 Webizen Local-Host Build (WIP)
in preparation for this post, i have made some quick notes that i hope will help considerations, although the repo is still in its very early stages (basically, implementing & writing docs, or writing docs for planning before implementing).
FWIW: i’ve also started to do some work on the Openlink Virtuoso Documentation, the process of just getting the information is still a work-in-process, i plan to try to improve the documentation then work to prepare it for processing into an LLM.
There are various ‘integration’ & implementation related tasks, alongside various other questions, that i’ll raise separately as relates more broadly to RD&D on #Local-Host Semantic Social Web (#SSW) computing ecosystems.