The AI Solutions team had successfully navigated the initial setup of their core toolchain: Hugging Face Transformers for local models, LangChain for orchestrating LLM calls, and LlamaIndex for the fundamental task of connecting LLMs to custom data. Maxim felt a growing sense of competence. Now, it was time to combine these elements, particularly LlamaIndex and an LLM, to build their first basic Retrieval Augmented Generation (RAG) pipeline. This was the cornerstone of making Project Chimera “intelligent” about GlobalSecure’s specific insurance knowledge.
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