AiRabbit

If your architecture still looks like "User Query $\to$ Vector DB $\to$ LLM," you aren’t building an AI application; you’re building a hallucination engine. The "naive" RAG era where we just dumped PDFs into Pinecone and prayed for the best is officially over. We

It feels like AI is claiming new territory every forty eight hours. One day it is Google announcing a new Gemini update. The next day we are looking at something like "Gemini Nano Banana" or a new open source breakthrough. We look at the benchmarks and the graphs

If you have been following the news, you have probably heard about the recent release of Gemini 3, followed just a few days later by the release of Nano Banana Pro. While the former brings many promising advancements, the latter is a true game-changer in every sense of the word.

Agentic systems call tools. Those tools return giant JSON blobs designed for booking engines, dashboards, or backend services—not for LLMs. The model usually needs a few fields; it still has to read everything. This describes a beta proof-of-concept: let the model say exactly which JSON fields it wants (via