This blog is a platform for me to share my knowledge in the area of software development.
In this blog, you will learn how to implement Retrieval Augmented Generation (RAG) using Weaviate, LangChain4j and LocalAI. This implementation allows you to ask questions about your documents using natural language. Enjoy!
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In this post, you will take a closer look at embedding documents to be used for a semantic search. By means of examples, you will learn how embedding influences the search result and how you can improve the results. Enjoy!
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In this blog, you will take a closer look at how you can chat with your documents using LangChain4j and LocalAI. Besides that, you will learn some basics about prompt engineering. Enjoy!
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In this post, you will learn how you can integrate Large Language Model (LLM) capabilities into your Java application. More specifically, how you can integrate with LocalAI from your Java application. Enjoy!
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In this post, you will take a closer look at LocalAI, an open source alternative to OpenAI which allows you to run LLM’s on your local machine. No GPU is needed, consumer grade hardware will suffice. Enjoy!
Continue reading “Running LLM’s Locally: A Step-by-Step Guide”