2 Repos
Extracting Pydantic-typed structured data from PDF and Word intake forms using OCR and LLMs with incremental processing.
Distinct from Structured Data Extraction: Distinct from Structured Data Extraction: specifically targets form documents (PDF, Word) using OCR and LLMs, with incremental processing.
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Cocoindex is an incremental data processing engine that builds and maintains live indexes for AI agents, with a core focus on codebase indexing and knowledge graph extraction. The engine uses a function-graph execution model where user-defined Python functions are composed into a directed acyclic graph, and it processes data incrementally so only changed source records or code paths are re-computed, avoiding full recomputation at any scale. It supports automatic schema inference from transformation pipeline type annotations and provides full data lineage tracing, tagging every output record wi
Extracts Pydantic-typed structured data from PDF and Word intake forms using OCR and LLMs with incremental processing.
GLM-4.5 is a multimodal large language model and advanced reasoning system. It functions as an AI coding assistant, an autonomous AI agent, and a multimodal content generator capable of processing and generating text, images, audio, and video within a single unified system. The project is distinguished by its deep reasoning capabilities, utilizing chain-of-thought processing to solve complex mathematical, logical, and technical problems. It features an agentic architecture that allows for autonomous task execution, long-horizon goal planning, and the ability to interact with external tools an
Identifies key information from certificates and receipts and outputs the results as structured JSON.