Su San, former staff at several leading tech companies, is a top creator on Juejin and a premium creator on CSDN, and runs the free coding practice site www.susan.net.cn.
This tutorial guides you through creating a conversational knowledge base using Tencent's ima, covering core concepts, practical setup steps, file upload best practices, sharing permissions, and common pitfalls to avoid.
MySQL 9.0+ introduces native VECTOR type, built-in semantic search with RAG, and AutoML via SQL, enabling AI workloads without external services; the article details three core capabilities, two deployment modes (local enterprise edition and cloud HeatWave), complete query logic, and three runnable code examples for vector storage, similarity search, and document-based RAG.
The article details CVE-2026-91403, a critical CVSS 9.1 vulnerability in Java's JSSE component affecting JDK 8, 11, 17, 21, 25, and 27, allowing remote unauthenticated attackers to compromise TLS communications, and provides upgrade and mitigation guidance.
This article analyzes Eino, ByteDance CloudWeGo's open-source Go framework for building production-grade AI applications and agents without Python, covering its type-safe graph orchestration, streaming abstractions, Agent runtime with ReAct loops, and comparison with LangChain.
The article details five practical engineering techniques to boost RAG accuracy in production: semantic chunking with metadata injection, hybrid vector/keyword search, cross-encoder reranking, query rewriting for conversational context, and dynamic evaluation to prevent hallucinations.
The article analyzes a Quantum Bit report on enterprise AI agent adoption, highlighting that data inconsistency and semantic gaps cause agent failures, and shows how NetEase Shufan's data platform provides trusted context, enabling Hengfeng Bank's T+1 performance insights and Sanhua's 10-minute budget analysis.
This tutorial explains vector databases from fundamentals to production: representing data as vectors, embedding models for semantic search, ANN algorithms like HNSW and IVF, hands-on ChromaDB demo for RAG, and comparison of production databases Milvus, Qdrant, Pinecone, and Weaviate with common pitfalls.
This article explains why MinerU, an open-source document parser with 80k+ GitHub stars, outperforms traditional text-extraction tools by understanding document structure — handling multi-column layouts, tables, and formulas — and introduces its four-tier parsing modes, stable locators for Agent workflows, and practical integration code for Python and Java.
MySQL 9.7 LTS brings enterprise-grade features like replication observability, hypergraph optimizer, PGO, and JSON Duality Views DML to the community edition, delivering up to 14% performance gains via PGO, but lacks vector similarity search functions for RAG workloads.
This comprehensive guide explains RAG from first principles through production deployment, covering offline indexing (loading, chunking, embedding, vector storage), online query pipeline (retrieval, reranking, prompt assembly), hybrid search with BM25 and dense vectors, RRF fusion, cross-encoder reranking, evaluation metrics (recall@k, MRR, nDCG), query rewriting, metadata filtering, contextual retrieval, Agentic RAG, and a real-world case study building a style-matching writing assistant with 197 articles.
