Symfony is steadily evolving into a modern AI-enabled framework—and one of its most exciting experimental additions is the symfony/ai-store component. This new package lays the foundation for semantic search, context injection, and Retrieval-Augmented Generation (RAG) workflows directly inside PHP applications. What Is Symfony AI Store? The AI Store component is a low-level abstraction for managing vector stores. In simpler terms, it helps store documents as embeddings (numerical vectors) and retrieve them later using similarity search. This is crucial in RAG scenarios, where an AI agent dynamically pulls relevant facts from a custom knowledge base before answering user queries. This component […]
AI
My First Successful Fine-Tuning of an LLM on Custom Symfony + Chameleon Knowledge
After several trials and experiments, I’ve finally completed my first successful fine-tuning of a LLaMA-based model using my own real-world internal IT documentation. This project fine-tunes a 3B parameter model to understand and respond to Symfony command usage, Chameleon CMS workflows, and developer issues like rsync errors or Xdebug debugging failures. The result is now publicly available on Hugging Face: kzorluoglu/chameleon-helper Setup Overview I used the excellent Unsloth Synthetic Data Kit and trained the model on a curated dataset of 32 instruction-based Q&A pairs, written in natural German developer language. Instead of the usual instruction/input/output JSON format, I opted for […]