Image created with Gemini. Image prompt: Hand-painted Ghibli-style seaside market stall at golden hour, a smiling porcelain llama-shaped carnival mask being lifted to reveal a second llama face made of layered open paper strips beneath, warm terracotta rooftops and teal harbor behind, a bold hand-painted wooden shop sign above the stall clearly spelling ‘Llama’ in clean legible letters, soft gouache watercolor backgrounds, cel-shaded, cinematic wide square framing, wistful cozy mood.
Got GLM-5.2 running on my Mac Studio via llama.cpp, the reasoning behind all my medical agentic workflows. It orchestrates a swarm of tiny on-device OpenMed experts: oncology, meds, labs. No cloud, no rate limits, nobody can take it away. AI must be owned, not rented.”
https://x.com/MaziyarPanahi/status/2070503452178796704
Semantic search alone doesn’t cut it. Neither does brute-force grep. Agents need both. Today we’re shipping the Retrieval Harness in LlamaParse Index: semantic search, server-side grep, and file-level navigation working together in a single agent reasoning loop. 🦙🌤️ Grep a”
https://x.com/llama_index/status/2071656315210826006
The @n8n_io node for the LlamaParse Platform is now an officially verified community node, as part of a broader partnership with n8n to bring cutting-edge document intelligence to the low-code and no-code world🚀 The new version of the node brings together document parsing,”
https://x.com/llama_index/status/2070538846756892811
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