An AI-powered document search agent that explores files like a human would — scanning, reasoning, and following cross-references. Unlike traditional RAG systems that rely on pre-computed embeddings, this agent dynamically navigates documents to find answers.
Semantic search and document parsing tools for the command line. A collection of high-performance CLI tools for document processing and semantic search, built with Rust for speed and reliability.
This article details how to build a document parsing pipeline using Qwen-2.5-VL, vLLM, and AWS Batch, achieving cost savings compared to third-party LLM providers like Gemini and OpenAI while maintaining data security.
Qwen2.5-VL, the latest vision-language model from Qwen, showcases enhanced image recognition, agentic behavior, video comprehension, document parsing, and more. It outperforms previous models in various benchmarks and tasks, offering improved efficiency and performance.
