Using Ollama for the embeddings with “nomic-embed-text”, with LanceDB for the vector database. Recently updated it to use “agentic” RAG, but probably not fully needed for a small project.
There are so many of us doing the same, just had a similar conversation at $work. It’s pretty exciting. I feel like I’m having to shove another 20 years of development experience into my brain with all these new concepts and abstractions, but the dots have been connecting!
I feel this pain! It feels like in the world of LLMs there is a new acronym to learn every day!
For the curious RAG = Retrieval Augmented Generation. From wikipedia: RAG enables large language models (LLMs) to retrieve and incorporate new information from external data sources
It took me a while to realize, but after a couple of experiences, it became very clear that promotions were often used as a carrot on a stick to make me do extra work or achieve tasks that my boss wanted done but didn't have resources for. I'm now very wary of any manager who tells me I'm performing beyond expectations, but that I need to do X to get a promotion.
From my personal experience, I have found that it's easier to get a promotion and raise by moving to a new job. I really wish this wasn't true. I would love to find a place where I'm completely happy with the work and can stay for many years, being paid fair compensation without the need for job-hopping.
Lexia Learning, a Cambium Learning Group company, empowers educators through adaptive assessment and personalized instruction. For more than 30 years, the company has been on the leading edge of research and product development as it relates to student reading skills. With a robust offering that includes solutions for differentiated instruction, personalized learning, and assessment, Lexia Learning provides educators with the tools to intensify and accelerate literacy skills development for students of all abilities.
In this role you’ll work on one of our small agile teams to scope, plan and implement new or refactored features in our myLexia application for educators. You will work on a PHP, Laravel, MySQL backend that is integrated with our TypeScript / AngularJS frontend to deliver clean, testable and scalable code. As a senior member of the team you will also mentor more junior engineers, work with our Software Architects to help implement new tools and processes and collaborate with our UX/UI team to provide feedback on application designs
Using Ollama for the embeddings with “nomic-embed-text”, with LanceDB for the vector database. Recently updated it to use “agentic” RAG, but probably not fully needed for a small project.