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  "text": "🚀 The team at @GoogleDeepMind just released Gemini Embedding 2, a frontier embeddings model with 3072 dimensions and state-of-the-art semantic quality.\n\n👩‍💻 We built a demo showing how to integrate it across the LlamaIndex ecosystem, from LlamaParse to LlamaAgents: 𝗮𝘂𝗱𝗶𝗼-𝗸𝗯, a knowledge base for your audio notes. With audio-kb, you can:\n\n🔹 Upload an MP3 or record directly from your terminal\n🔹 LlamaParse extracts the transcript from the audio\n🔹 Gemini Embedding 2 generates embeddings\n🔹 Metadata + vectors are stored in @SurrealDB and indexed with HNSW\n\n🔍 Once ingested, you can search all your audio notes directly from the terminal.\n🎙️ Perfect for turning voice memos, meetings, or lectures into a searchable knowledge base.\n\n📖 Full blog: https://t.co/HcuEvIAiQd\n💻 GitHub: https://t.co/B7EMlJXhzW\n⚡ Try LlamaParse: https://t.co/zyE5lXTPFV",
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