sanjeevafk/depthapi_technical_corpus

DepthAPI技术语料库是一个精心策划的高质量检索语料库，专为现代检索增强生成（RAG）系统设计。它包含干净、经过严格规范化的技术文档、代码片段、工程事后分析报告和系统设计文献。该数据集明确构建为DepthAPI项目的本地真实数据，旨在支持企业级、声明式的RAG管道，通过异步并发和Supabase向量嵌入实现高效数据摄取。语料库聚合了多个高价值技术领域的数据，包括OPEA文档、30秒代码片段、系统设计入门、工程事后分析以及DepthAPI可信语料库，并通过声明式摄取管道进行语义分块和去重处理，确保数据的上下文连续性和唯一性。The DepthAPI Technical Corpus is a curated, high-quality retrieval corpus designed for modern RAG (Retrieval-Augmented Generation) systems. It features clean, aggressively normalized technical documentation, code snippets, engineering post-mortems, and system design literature. This dataset was explicitly built to serve as the local ground-truth for the DepthAPI project, which is an enterprise-grade, declarative RAG pipeline built with asynchronous concurrency and Supabase Vector embeddings. The corpus aggregates multiple highly-valued technical domains, including OPEA documentation, 30 Seconds of Code snippets, system design principles, engineering post-mortems, and DepthAPI trusted corpus, and is processed through a declarative ingestion pipeline with semantic chunking and idempotent upserts for contextual continuity and deduplication.