diff --git a/SemantiCore_Development_Roadmap.md b/SemantiCore_Development_Roadmap.md index 30f198e5..a99bdba3 100644 --- a/SemantiCore_Development_Roadmap.md +++ b/SemantiCore_Development_Roadmap.md @@ -38,7 +38,7 @@ Each module is a self-contained package with a clear public API. * Chunking strategies: sliding window, semantic chunking, structural (section-aware), table-aware splitting. * Preserves provenance for each chunk. -6. **semantic\_extract** +6. **semantic_extract** * Capabilities: NER, relation extraction, event detection, co-reference resolution, entity linking, triple extraction. * Backends: spaCy, Stanza, HuggingFace pipelines, LLM prompts (for complex relations). @@ -47,7 +47,7 @@ Each module is a self-contained package with a clear public API. * OntologyGenerator: infer classes/properties, generate OWL/RDF, map to base ontologies (schema.org, FOAF, DC), versioning. -8. **triple\_store** +8. **triple_store** * Adapters: Blazegraph, Apache Jena, RDF4J, GraphDB, Virtuoso — export/import, bulk load. @@ -57,67 +57,127 @@ Each module is a self-contained package with a clear public API. 10. **embeddings** - * SemanticEmbedder: multi-modal embeddings, context windows, pooling strategies, embedding provider adapters (OpenAI, BGE, Llama‑embeddings). + * SemanticEmbedder: multi-modal embeddings, context windows, pooling strategies, embedding provider adapters (OpenAI, BGE, Llama‑embeddings). -11. **vector\_store** +11. **vector_store** - * Adapters: Pinecone, FAISS, Milvus, Weaviate, Qdrant. Features: namespace, metadata store, hybrid search. + * Adapters: Pinecone, FAISS, Milvus, Weaviate, Qdrant. Features: namespace, metadata store, hybrid search. 12. **reasoning** - * Inference rules, SPARQL-based reasoning, Rete-like rule engine hooks, abductive/deductive inference. + * Inference rules, SPARQL-based reasoning, Rete-like rule engine hooks, abductive/deductive inference. 13. **pipeline** - * PipelineBuilder, failure/retry semantics, parallelism strategies, resource scheduling. + * PipelineBuilder, failure/retry semantics, parallelism strategies, resource scheduling. 14. **streaming** - * Integration: Kafka, Pulsar, RabbitMQ, Kinesis; exactly-once semantics where feasible; checkpoints. + * Integration: Kafka, Pulsar, RabbitMQ, Kinesis; exactly-once semantics where feasible; checkpoints. 15. **domains** - * Domain-specific processors (cybersecurity, biomedical, finance, legal). Each provides templates, mapping rules, ontologies, and extractors. + * Domain-specific processors (cybersecurity, biomedical, finance, legal). Each provides templates, mapping rules, ontologies, and extractors. -16. **qa\_rag** +16. **qa_rag** - * RAG-optimised tools: semantic chunker, prompt templates, retrieval policies, answer justification, provenance-aware answer builder. + * RAG-optimised tools: semantic chunker, prompt templates, retrieval policies, answer justification, provenance-aware answer builder. 17. **agents** - * Agent manager & orchestration for multiagent workflows, tools for tool‑use, orchestration policies, cost-awareness, sandboxing. + * Agent manager & orchestration for multiagent workflows, tools for tool‑use, orchestration policies, cost-awareness, sandboxing. 18. **ui** - * Web dashboard components: ingestion monitor, KG viewer (graph UI), conflict resolver, analytics dashboard, pipeline editor. + * Web dashboard components: ingestion monitor, KG viewer (graph UI), conflict resolver, analytics dashboard, pipeline editor. 19. **monitoring** - * Metrics, traces (OpenTelemetry), alerts, SLAs, data quality metrics, semantic quality score. + * Metrics, traces (OpenTelemetry), alerts, SLAs, data quality metrics, semantic quality score. 20. **quality** - * QA, validation engine, schema validation, unit tests for extracted triples, confidence thresholds. + * QA, validation engine, schema validation, unit tests for extracted triples, confidence thresholds. 21. **security** - * Access control (RBAC), data masking, PII redaction, audit logs, encryption helpers. + * Access control (RBAC), data masking, PII redaction, audit logs, encryption helpers. 22. **deploy** - * K8s manifests, Helm charts, Dockerfiles, autoscaling policies, GPU scheduling guides. + * K8s manifests, Helm charts, Dockerfiles, autoscaling policies, GPU scheduling guides. 23. **cli** - * Lightweight CLI for quick ingestion, building KB, exporting triples, running QA checks. + * Lightweight CLI for quick ingestion, building KB, exporting triples, running QA checks. 24. **examples** - * Cookbooks and minimal reproducible examples across domains. + * Cookbooks and minimal reproducible examples across domains. 25. **docs** - * Sphinx/ReadTheDocs-ready documentation with tutorials and API reference. + * Sphinx/ReadTheDocs-ready documentation with tutorials and API reference. + +### 🆕 **NEW MODULES TO TACKLE KNOWLEDGE GRAPH PROBLEMS** + +26. **template_manager** + + * **Purpose:** Enforce fixed templates and predefined schemas to prevent AI from inventing entities/relationships. + * **Features:** + - Schema validation against predefined templates + - Template registry with versioning + - Constraint enforcement (required fields, data types, relationships) + - Template inheritance and composition + - Domain-specific template libraries (finance, healthcare, legal) + * **Exports:** `TemplateRegistry`, `SchemaValidator`, `ConstraintEngine`, `TemplateBuilder`. + +27. **seed_manager** + + * **Purpose:** Initialize Knowledge Graph with existing, known data to build on "foundation of truth". + * **Features:** + - Seed data import from CSV, JSON, databases + - Known entity registration (products, departments, employees) + - Seed data validation and conflict detection + - Incremental seed data updates + - Seed data provenance tracking + * **Exports:** `SeedManager`, `SeedValidator`, `SeedImporter`, `SeedRegistry`. + +28. **semantic_deduplicator** + + * **Purpose:** Clean up and merge semantically similar entities to prevent graph messiness. + * **Features:** + - Semantic similarity detection using embeddings + - Fuzzy matching algorithms (Levenshtein, Jaro-Winkler) + - Entity clustering and grouping + - Merge strategies and conflict resolution + - Duplicate detection confidence scoring + - Batch deduplication with rollback support + * **Exports:** `SemanticDeduplicator`, `SimilarityEngine`, `MergeEngine`, `ClusterAnalyzer`. + +29. **conflict_detector** + + * **Purpose:** Flag disagreements when different sources provide conflicting information. + * **Features:** + - Multi-source conflict detection + - Conflict severity classification (minor, moderate, critical) + - Source document tracking and highlighting + - Conflict resolution workflow + - Conflict history and audit trail + - Automated conflict alerts and notifications + * **Exports:** `ConflictDetector`, `ConflictResolver`, `ConflictTracker`, `AlertManager`. + +30. **provenance_tracker** + + * **Purpose:** Track the exact source of every piece of information for transparency and investigation. + * **Features:** + - Source document linking (file, page, paragraph, line) + - Extraction timestamp and confidence scores + - Processing pipeline tracking + - Source credibility scoring + - Provenance visualization in UI + - Export capabilities for audit purposes + * **Exports:** `ProvenanceTracker`, `SourceLinker`, `CredibilityScorer`, `ProvenanceExporter`. --- @@ -129,6 +189,14 @@ Each module is a self-contained package with a clear public API. * **As an ML engineer** I want RAG-ready semantic chunks with embeddings and retrieval tuning. * **As a security engineer** I want PII detection and masking before storing embeddings. +### 🆕 **NEW USER STORIES FOR KNOWLEDGE GRAPH PROBLEMS** + +* **As a knowledge engineer** I want to enforce fixed templates so the AI doesn't invent new entities or relationships. +* **As a domain expert** I want to seed the Knowledge Graph with known data so the AI builds on existing knowledge. +* **As a data quality analyst** I want automatic deduplication to merge semantically similar entities and keep the graph clean. +* **As a compliance officer** I want to see exactly where conflicting information comes from so I can investigate discrepancies. +* **As a business user** I want to trust that the Knowledge Graph represents the single source of truth without duplicates or conflicts. + --- ## 4. Recommended tech stack (per module) @@ -145,6 +213,13 @@ Each module is a self-contained package with a clear public API. * Monitoring: Prometheus + Grafana + OpenTelemetry * CI/CD: GitHub Actions, dependabot +### 🆕 **NEW TECH STACK FOR KNOWLEDGE GRAPH MODULES** + +* **Template Management:** JSON Schema, Pydantic, Cerberus for validation +* **Semantic Deduplication:** SentenceTransformers, FAISS, scikit-learn clustering +* **Conflict Detection:** Fuzzy matching with `fuzzywuzzy`, `rapidfuzz` +* **Provenance Tracking:** GraphQL, Neo4j Cypher, RDF/SPARQL + --- ## 5. Architecture — dataflow diagram (Mermaid) @@ -163,6 +238,17 @@ flowchart LR H --> K[Analytics / UI] J --> K I --> K + + %% NEW KNOWLEDGE GRAPH MODULES + L[Seed Data] --> M(Seed Manager) + M --> H + N[Template Registry] --> O(Template Manager) + O --> D + P[Conflict Detector] --> Q(Conflict Resolution) + Q --> H + R[Semantic Deduplicator] --> H + S[Provenance Tracker] --> T(Provenance Store) + T --> K ``` --- @@ -184,6 +270,15 @@ Q3 — Streaming & Domains Q4 — Agents & Enterprise - multi-agent orchestration, advanced reasoning, RBAC, production K8s charts, enterprise docs + +🆕 Q5 — Knowledge Graph Quality & Trust + - template_manager, seed_manager, semantic_deduplicator, conflict_detector + - provenance_tracker, advanced conflict resolution UI + - template libraries for common domains + +🆕 Q6 — Enterprise Knowledge Graph Features + - multi-tenant template management, advanced conflict workflows + - compliance reporting, audit trails, enterprise integrations ``` --- @@ -205,6 +300,11 @@ ontology ██████ 6 ui █████ 5 monitoring █████ 5 agents ████ 4 +🆕 template_manager ████████ 8 +🆕 seed_manager ███████ 7 +🆕 semantic_deduplicator ████████ 8 +🆕 conflict_detector ████████ 8 +🆕 provenance_tracker ███████ 7 ``` ### 7.2 Gantt-style timeline (Mermaid) @@ -224,6 +324,12 @@ gantt Streaming & Domains :a6, after a5, 60d Monitoring & QA :a7, after a6, 30d Agents & Enterprise :a8, after a7, 60d + 🆕 section KG Quality + Template Manager :a9, after a8, 45d + Seed Manager :a10, after a9, 30d + Semantic Deduplicator :a11, after a10, 45d + Conflict Detector :a12, after a11, 45d + Provenance Tracker :a13, after a12, 30d ``` --- @@ -237,6 +343,14 @@ gantt * **Test coverage**: unit tests for extractors, golden files for parsers, and integration tests that simulate full pipelines. * **Performance**: make parsing idempotent and resumable; add caching at the ingest and embedder layers. +### 🆕 **NEW DESIGN PRINCIPLES FOR KNOWLEDGE GRAPH QUALITY** + +* **Template-first**: Define schemas before ingestion to prevent AI invention of entities/relationships. +* **Seed-before-extract**: Always start with known data to establish foundation of truth. +* **Conflict-aware**: Design for conflict detection from day one, not as an afterthought. +* **Provenance-everywhere**: Track source of every piece of information for transparency. +* **Deduplication-continuous**: Implement semantic deduplication as a continuous process, not just during ingestion. + --- ## 9. CI/CD, release & contributor guidelines @@ -267,6 +381,12 @@ gantt /infra/k8s/ /helm/semanticore/ /.github/workflows/ + +🆕 /packages/template_manager/ +🆕 /packages/seed_manager/ +🆕 /packages/semantic_deduplicator/ +🆕 /packages/conflict_detector/ +🆕 /packages/provenance_tracker/ ``` --- @@ -280,6 +400,14 @@ gantt 5. Implement `SemanticEmbedder` with local huggingface mini-embedding and persist to FAISS. 6. Add basic unit tests and a demo notebook that shows E2E from PDF -> embeddings -> search. +### 🆕 **NEW STARTER TASKS FOR KNOWLEDGE GRAPH QUALITY** + +7. Implement `template_manager` with basic JSON schema validation. +8. Create `seed_manager` for importing known entities from CSV/JSON. +9. Build `semantic_deduplicator` using sentence transformers for similarity detection. +10. Develop `conflict_detector` to identify source disagreements. +11. Add `provenance_tracker` to link all information to source documents. + --- ## 12. Example API usage (reference) @@ -297,6 +425,52 @@ kb = core.build_knowledge_base(["./sample_docs/"]) print(kb.search("key trends")) ``` +### 🆕 **NEW API EXAMPLES FOR KNOWLEDGE GRAPH QUALITY** + +```python +from semanticore import SemantiCore +from semanticore.template_manager import TemplateRegistry +from semanticore.seed_manager import SeedManager +from semanticore.semantic_deduplicator import SemanticDeduplicator +from semanticore.conflict_detector import ConflictDetector + +# Initialize with quality modules +core = SemantiCore( + config_path="./config.yaml", + template_manager=TemplateRegistry("./templates/"), + seed_manager=SeedManager("./seed_data/"), + deduplicator=SemanticDeduplicator(), + conflict_detector=ConflictDetector() +) + +# Load predefined template +template = core.template_manager.load_template("financial_report") + +# Seed with known data +core.seed_manager.load_seed_data("departments.csv", "employees.json") + +# Build knowledge base with quality controls +kb = core.build_knowledge_base( + ["./documents/"], + template=template, + enable_deduplication=True, + enable_conflict_detection=True +) + +# Check for conflicts +conflicts = core.conflict_detector.get_conflicts() +for conflict in conflicts: + print(f"Conflict: {conflict.description}") + print(f"Sources: {conflict.sources}") + print(f"Severity: {conflict.severity}") + +# Get provenance for any entity +provenance = core.provenance_tracker.get_provenance("Q1_Sales_Report") +print(f"Source: {provenance.source_document}") +print(f"Extracted: {provenance.extraction_timestamp}") +print(f"Confidence: {provenance.confidence_score}") +``` + --- ## 13. Next steps / how I can help @@ -307,6 +481,12 @@ If you want, I can: * Generate a prioritized ticket backlog (Jira/GitHub issues format). * Create starter code for `core`, `file` ingestor, `pdf` parser and a demo notebook. ---- +### 🆕 **NEW NEXT STEPS FOR KNOWLEDGE GRAPH QUALITY** + +* Create detailed specifications for the 5 new Knowledge Graph quality modules. +* Design the conflict resolution workflow and UI components. +* Develop template libraries for common domains (finance, healthcare, legal). +* Build integration examples showing how these modules work together. +* Create quality metrics and validation frameworks for Knowledge Graph trustworthiness. + -*End of file.*