# Task Log: LightRAG Documentation Creation

**Date**: 2025-01-21
**Mode**: beastmode-chatmode
**Task**: Create comprehensive SOTA documentation for LightRAG workspace

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## Actions

- Explored entire LightRAG codebase structure (`lightrag/`, `kg/`, `llm/`, `api/`, `models/`, `services/`)
- Read core modules: `lightrag.py` (3401 lines), `base.py` (944 lines), `operate.py` (4230 lines), `prompt.py`, `constants.py`
- Analyzed all 20+ storage implementations in `kg/` directory
- Reviewed all 16 LLM provider integrations in `llm/` directory
- Examined Docker, docker-compose, and K8s deployment configurations
- Created 9 comprehensive documentation files in `docs/` directory

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## Documents Created

| File | Description | Lines |
|------|-------------|-------|
| `README.md` | Main documentation index with navigation | ~200 |
| `0001-quick-start.md` | Getting started guide | ~250 |
| `0002-architecture-overview.md` | System architecture with ASCII diagrams | ~500 |
| `0003-api-reference.md` | Complete REST API documentation | ~600 |
| `0004-storage-backends.md` | All 15+ storage backend configurations | ~700 |
| `0005-llm-integration.md` | 13+ LLM provider integrations | ~600 |
| `0006-deployment-guide.md` | Docker, K8s, and local deployment | ~500 |
| `0007-configuration-reference.md` | All environment variables and options | ~550 |
| `0008-multi-tenancy.md` | Tenant isolation and RBAC guide | ~450 |

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## Decisions

- Used ASCII art diagrams instead of Mermaid for maximum compatibility across viewers
- Organized documents numerically (0001-0008) for clear ordering
- Included ERD-style diagrams showing entity relationships
- Created dense, actionable tables for quick reference
- Linked all documents together with cross-references

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## Key Components Documented

### Storage Backends
- **KV**: JsonKVStorage, RedisKVStorage, PGKVStorage, MongoKVStorage
- **Vector**: NanoVectorDBStorage, PGVectorStorage, MilvusVectorDBStorage, QdrantStorage, FAISSStorage, RedisVectorStorage, MongoDBVectorStorage
- **Graph**: NetworkXStorage, Neo4JStorage, PGGraphStorage, AGEStorage, MemgraphStorage, GremlinStorage

### LLM Providers
- OpenAI, Anthropic, Ollama, Azure OpenAI, AWS Bedrock, HuggingFace, Jina, SiliconCloud, ZhiPu, NVIDIA, LoLLMs, LMDeploy

### Query Modes
- naive, local, global, hybrid, mix, bypass

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## Next Steps

- Consider adding examples directory documentation
- Add troubleshooting section to deployment guide
- Create contribution guidelines
- Add performance tuning guide

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## Lessons/Insights

- LightRAG has a highly modular architecture with pluggable storage backends
- Multi-tenancy is implemented via TenantRAGManager with LRU caching
- The system supports 15+ storage backends and 13+ LLM providers
- Configuration follows a layered approach: CLI > ENV > .env > defaults
- The codebase is well-structured with clear separation of concerns

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**Total Documentation**: ~4,350 lines across 9 files
