LlamaIndex is an AI agent framework offering prepackaged document agents. It provides tools, libraries, and predefined components for building autonomous AI agents that process and manage documents. LlamaIndex includes memory, state management, tool access, and API integrations, enabling agents to understand context, use external tools, and execute tasks across multiple steps or conversations, ideal for document-centric applications.
Advanced AI assistant for research, reasoning, and coding tasks.
Last week, I watched a startup burn through $4,000 in cloud compute credits over three days trying to build a legal document Q&A system. Their mistake? They were using DeepSeek V3.2 to process and reason over 200-page contracts one by one, instead of using a framework to retrieve the right chunks first. They had the right model for reasoning, but the wrong architecture for the job.
This is the exact confusion that happens when you compare Llama
# How to Get Started with DeepSeek: A Practical Guide I’ve been using DeepSeek for about three weeks now, and I wish I’d had a guide like this when I started. Not the kind that hypes it up as a mirac
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