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* Remove outdated documentation files: Quick Start Guide, Apache AGE Analysis, and Scratchpad. * Add multi-tenant testing strategy and ADR index documentation - Introduced ADR 008 detailing the multi-tenant testing strategy for the ./starter environment, covering compatibility and multi-tenant modes, testing scenarios, and implementation details. - Created a comprehensive ADR index (README.md) summarizing all architecture decision records related to the multi-tenant implementation, including purpose, key sections, and reading paths for different roles. * feat(docs): Add comprehensive multi-tenancy guide and README for LightRAG Enterprise - Introduced `0008-multi-tenancy.md` detailing multi-tenancy architecture, key concepts, roles, permissions, configuration, and API endpoints. - Created `README.md` as the main documentation index, outlining features, quick start, system overview, and deployment options. - Documented the LightRAG architecture, storage backends, LLM integrations, and query modes. - Established a task log (`2025-01-21-lightrag-documentation-log.md`) summarizing documentation creation actions, decisions, and insights.
2.9 KiB
2.9 KiB
Task Log: LightRAG Documentation Creation
Date: 2025-01-21 Mode: beastmode-chatmode Task: Create comprehensive SOTA documentation for LightRAG workspace
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
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 |
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
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
Next Steps
- Consider adding examples directory documentation
- Add troubleshooting section to deployment guide
- Create contribution guidelines
- Add performance tuning guide
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
Total Documentation: ~4,350 lines across 9 files