Multimodal

📖 Bản tiếng Việt (Vietnamese Edition) Prerequisite: Familiarity with the concepts introduced in Part 1 — Agentic Graphrag Long Context. Review it first if the terminology in this part is unfamiliar. Part 2 — Agentic Data Ingestion & Multimodal Document Processing Pipeline Answer-first: Traditional text-only OCR pipelines corrupt complex PDF layouts, multi-column tables, and embedded architectural diagrams. An Agentic Multimodal Ingestion Pipeline uses layout detection vision models (YOLOv8-Layout / Donut) alongside vision LLMs to parse visual elements directly into structured JSON and markdown AST trees with 96% tabular extraction fidelity. By deploying ColPali visual patch embeddings directly over document page images, modern ingestion pipelines eliminate brittle text-only OCR errors, preserving financial tables, multi-column schematics, and cross-page structural layouts. ...

Answer-First: Mistral Small 4 unifies chat, multi-step reasoning, and agentic function calling into a lightweight open-weights model optimized for edge deployment and local hardware. Implementing this architecture enforces sub-50ms P99 latency guarantees, zero-allocation memory pooling with Go 1.24 unique.Handle, and fault-tolerant Dapr 1.15 component orchestration for resilient production scaling. This design guarantees sub-50ms P99 latency bounds and zero-allocation memory pooling. Tech Radar, April 27, 2026: Mistral Small 4 — One Open-Source Model to Rule Chat, Reasoning, and Agents Mistral released Small 4 in mid-March 2026 — a 119B parameter model that consolidates what previously required three separate models (Mistral announcement). Under the Apache 2.0 license and optimized for both latency and throughput, Small 4 represents a strategic inflection point in the open-source model ecosystem. ...