Roadmap¶

Future plans and feature development for Complex Network RAG.

REPL Phase 3 (Next Release)¶

Status: Planned ETA: Q1 2026

Advanced Inspection¶

inspect edge <id1> <id2> - Show component-level similarity breakdown
inspect node <id> - Display all embeddings and metadata
compare <id1> <id2> - Side-by-side document comparison
explain <id> - Why a document was retrieved

Session Management¶

save session <file> - Persist current session state
load session <file> - Restore previous session
history - View and replay command history
export script <file> - Generate Python script from session

Enhanced Config Builder¶

config edit - Modify existing configurations
config validate - Test without applying
config diff - Compare two configurations
More templates (emails, code, medical, legal)

Performance Optimization¶

Status: Planned ETA: Q2 2026

Scalability¶

FAISS integration for approximate nearest neighbors (100k+ docs)
Incremental network updates (add without rebuild)
Parallel embedding computation
Batch operations for imports
Memory-mapped storage for large graphs

Caching¶

Embedding cache for repeated computations
Similarity matrix caching
Community detection results persistence

Advanced Embeddings¶

Status: In Progress

New Providers¶

✅ TF-IDF (completed)
✅ Sentence Transformers (completed)
⏳ Ollama integration (in progress)
🔜 OpenAI embeddings
🔜 Cohere embeddings
🔜 Custom embedding models

Embedding Features¶

Multi-model ensembles
Cross-lingual embeddings
Domain-specific fine-tuning
Embedding compression

Network Analysis¶

Status: Planned ETA: Q3 2026

Advanced Algorithms¶

PageRank for document importance
HITS algorithm for hub/authority scores
Hierarchical clustering
Temporal network evolution
Subgraph matching

Visualization¶

Interactive network visualization (D3.js/Cytoscape)
Community visualization with colors
Export to Gephi/NetworkX formats
ASCII-based terminal visualization

Integration Features¶

Status: Planned ETA: Q2 2026

Vector Databases¶

Qdrant integration
Pinecone integration
Weaviate integration
ChromaDB integration

LLM Integration¶

LangChain integration
LlamaIndex integration
Haystack integration
Direct OpenAI/Anthropic API support

Data Sources¶

PDF ingestion with layout preservation
Web scraping utilities
RSS feed monitoring
Database connectors (PostgreSQL, MongoDB)

Developer Experience¶

Status: Ongoing

Documentation¶

✅ MkDocs site (completed)
✅ Complete API reference (completed)
🔜 Video tutorials
🔜 Interactive playground
🔜 More example notebooks

Tooling¶

Pre-commit hooks
GitHub Actions CI/CD
Automated benchmarking
Performance regression tests
Docker containers

Enterprise Features¶

Status: Future

Security¶

Authentication/authorization
Encryption at rest
Audit logging
Multi-tenancy support

Operations¶

Prometheus metrics
Health check endpoints
Graceful degradation
High availability setup

Community Features¶

Status: Ongoing

Contributions¶

Contributing guide (in progress)
Code of conduct
Issue templates
Pull request templates
Community forum/Discord

Package Distribution¶

PyPI package
Conda package
Docker images
Homebrew formula

Research Directions¶

Status: Exploratory

Novel Algorithms¶

Attention-based graph neural networks
Dynamic graph embeddings
Multi-relational networks
Hypergraph representations
Quantum-inspired similarity

Applications¶

Scientific literature analysis
Legal document discovery
Medical knowledge graphs
Code search and recommendation
Social network analysis

Version Timeline¶

Version	Focus	Status	ETA
0.5.0	REPL Phase 3	Planned	Q1 2026
0.6.0	Performance	Planned	Q2 2026
0.7.0	Integrations	Planned	Q2 2026
0.8.0	Network Analysis	Planned	Q3 2026
0.9.0	Enterprise	Planned	Q4 2026
1.0.0	Stable Release	Planned	Q1 2027

How to Contribute¶

We welcome contributions! See areas above marked 🔜 that we're actively seeking help with.

Most wanted contributions: 1. LLM provider integrations 2. Vector database connectors 3. Visualization improvements 4. Example use cases and tutorials 5. Performance optimizations

Get involved: - 🐛 Report bugs - 💡 Suggest features - 📝 Improve docs - 💻 Contribute code

Feedback¶

This roadmap is flexible based on community feedback. Let us know what features matter most to you!