This repository is a Redis-compatible in-memory data structure server with significant custom extensions, including vector similarity search via HNSW (vector-sets module), rate limiting (GCRA), key eviction protection (BLESS), and a comprehensive module system. The architecture is a single-threaded event loop (ae) with optional IO threads, supporting a wide range of data structures: strings, hashes, lists, sets, sorted sets, streams, geospatial indexes, HyperLogLog, and bitfields. Persistence is provided via RDB snapshots and AOF logs, with replication and cluster support. The codebase is a fork/derivative of Redis/Valkey, incorporating additional features not present in upstream, such as hash field expiration (ebuckets/estore), per-key metadata (keymeta), and a Fenwick tree-based key selection (kvstore). Key entry points include the redis-server daemon, redis-cli, redis-benchmark, and module loading via the redismodule.h API. External dependencies include jemalloc, hiredis, Lua 5.1, linenoise, tre, xxhash, OpenSSL, and optional ZSTD compression. The system is designed for high throughput and low latency, with extensive use of custom memory management (zmalloc) and data structure optimizations.
This repository accompanies a Korean-language book on practical LLM application development, containing hands-on code examples organized by chapter. It demonstrates the full LLM lifecycle including foundational concepts (transformers), model optimization (quantization, PEFT), application building (RAG, agents, multimodal systems), and deployment techniques. The primary value lies in its educational notebooks that show how to implement LLM-powered solutions for tasks like Text2SQL, retrieval-augmented generation, and AI agents using frameworks such as LlamaIndex, AutoGen, and vLLM. While designed for Google Colab execution, the code illustrates reusable patterns for LLM engineering.