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Documents are stored locally on the device with structured schema support, enabling offline-first applications to maintain full CRUD operations on document collections without cloud synchronization overhead.","intents":["Store and retrieve JSON documents locally on a React Native device without network dependency","Build offline-capable mobile apps that sync documents when connectivity returns","Avoid latency and bandwidth costs of cloud database calls for local-only data access patterns"],"best_for":["React Native developers building offline-first mobile applications","Teams building local-first collaboration tools with eventual sync","Mobile app developers prioritizing user privacy and data residency"],"limitations":["JSI HostObject bindings are platform-specific (iOS/Android native code required)","No built-in cross-device synchronization — requires external sync layer for multi-device scenarios","Storage capacity limited by device filesystem; no automatic sharding or distributed storage","Requires native module compilation; cannot be used in Expo Go without custom development client"],"requires":["React Native 0.60+ (JSI support)","iOS 11+ or Android API 21+","Native build tools (Xcode for iOS, Android NDK for Android)","npm or yarn package manager"],"input_types":["JSON objects","structured documents with schema validation","vector embeddings (for RAG capabilities)"],"output_types":["JSON documents","query result sets","vector similarity scores"],"categories":["data-processing-analysis","local-first-database"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_1","uri":"capability://memory.knowledge.vector.embedding.storage.and.semantic.search","name":"vector embedding storage and semantic search","description":"Stores vector embeddings alongside documents and provides semantic similarity search via vector distance calculations (likely cosine or Euclidean metrics). The system indexes embeddings for efficient retrieval, enabling RAG (Retrieval-Augmented Generation) patterns where documents are ranked by semantic relevance rather than keyword matching.","intents":["Store embeddings generated from external LLM APIs and search documents by semantic similarity","Build RAG pipelines that retrieve contextually relevant documents for LLM prompts without cloud vector databases","Implement semantic search features in offline mobile apps using locally-stored embeddings"],"best_for":["Mobile developers implementing RAG features without external vector database dependencies","Teams building AI-powered search in offline-capable React Native apps","Developers prototyping semantic search without infrastructure overhead"],"limitations":["Embedding generation must happen externally (e.g., via OpenAI, Hugging Face APIs) — no built-in embedding model","Vector search performance degrades with large embedding collections (>100k vectors) on mobile devices","No approximate nearest neighbor (ANN) indexing — likely uses brute-force distance calculation","Fixed embedding dimensions; no dynamic dimension support or dimensionality reduction"],"requires":["React Native 0.60+","External embedding service (OpenAI, Hugging Face, Ollama, etc.)","Pre-computed embeddings or embedding generation pipeline","Device storage capacity proportional to embedding count"],"input_types":["vector embeddings (float arrays)","documents with associated embeddings","query vectors for similarity search"],"output_types":["ranked document results with similarity scores","vector distance metrics","top-k nearest neighbors"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_10","uri":"capability://safety.moderation.encryption.at.rest.with.device.level.key.management","name":"encryption at rest with device-level key management","description":"Encrypts documents stored on the device using device-level encryption keys, protecting data if the device is lost or stolen. Encryption is transparent to the application — documents are encrypted on write and decrypted on read without explicit key management in JavaScript code.","intents":["Protect sensitive user data (PII, credentials, health information) stored locally on the device","Comply with data protection regulations (GDPR, HIPAA) requiring encryption at rest","Prevent data exfiltration if the device is physically compromised"],"best_for":["Healthcare, financial, or other regulated mobile apps handling sensitive data","Teams prioritizing user privacy and data protection","Applications storing PII or credentials locally"],"limitations":["Encryption key management is device-level — no per-user or per-document key rotation","Encryption overhead adds latency to read/write operations (typically 5-15% performance impact)","Key recovery is not possible if device encryption key is lost — data becomes unrecoverable","No key escrow or backup mechanisms — lost device means lost encrypted data"],"requires":["React Native 0.60+","iOS 11+ or Android API 21+ with hardware-backed keystore support","Device encryption enabled (typically required by default on modern devices)"],"input_types":["plaintext documents"],"output_types":["encrypted documents (transparent to application)"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_2","uri":"capability://data.processing.analysis.schema.based.document.validation.and.type.safety","name":"schema-based document validation and type safety","description":"Enforces document structure through schema definitions that validate incoming documents before storage, providing type safety and preventing malformed data from corrupting the database. Schemas define required fields, data types, and constraints that are checked at write time, with validation errors returned to the application layer.","intents":["Ensure documents conform to expected structure before persisting to avoid runtime errors in application code","Catch data integrity issues early during development and prevent schema drift in production","Generate TypeScript types from schemas for compile-time type checking in React Native apps"],"best_for":["TypeScript-first React Native teams prioritizing type safety","Applications with strict data governance requirements","Teams migrating from unstructured to structured data models"],"limitations":["Schema migrations are manual — no built-in versioning or automatic schema evolution","Validation happens synchronously at write time, adding latency for large batch inserts","No conditional validation rules or complex cross-field constraints","Schema changes require application updates; no backward compatibility guarantees"],"requires":["React Native 0.60+","Schema definition format (likely JSON Schema or custom DSL)","TypeScript 4.0+ for type generation (optional but recommended)"],"input_types":["schema definitions","JSON documents for validation"],"output_types":["validation results (pass/fail with error details)","TypeScript type definitions"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_3","uri":"capability://data.processing.analysis.synchronous.document.crud.operations.via.jsi","name":"synchronous document crud operations via jsi","description":"Exposes synchronous create, read, update, and delete operations on documents through JSI HostObject methods, allowing React Native code to perform database operations without async/await overhead. Operations return results immediately from the native layer, enabling responsive UI updates without promise chains or callback hell.","intents":["Perform database operations synchronously in React Native without blocking UI or requiring async state management","Build responsive forms and lists that update instantly when documents are modified","Avoid async complexity in simple CRUD workflows where synchronous execution is acceptable"],"best_for":["React Native developers building simple CRUD-heavy applications","Teams prioritizing synchronous API simplicity over async flexibility","Mobile apps with small-to-medium dataset sizes where synchronous operations don't block UI"],"limitations":["Synchronous operations can block the React Native thread if database operations are slow (>16ms for 60fps)","No transaction support — individual operations are atomic but multi-step transactions require manual coordination","Batch operations must be called individually; no bulk insert/update API for efficiency","Error handling is synchronous; no retry logic or exponential backoff built-in"],"requires":["React Native 0.60+","Understanding of JSI performance implications and thread safety","Awareness of synchronous operation latency on slower devices"],"input_types":["document objects (JSON)","document IDs (strings or numbers)","query filters"],"output_types":["created/updated/deleted documents","query results","operation status (success/error)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_4","uri":"capability://automation.workflow.offline.first.data.persistence.with.eventual.consistency","name":"offline-first data persistence with eventual consistency","description":"Stores all data locally on the device with no required network connectivity, supporting eventual consistency patterns where local changes are persisted immediately and synchronized to remote systems when connectivity is available. The database tracks local modifications independently of sync state, enabling applications to function fully offline.","intents":["Build mobile apps that work completely offline and sync changes when network returns","Avoid network latency and connectivity dependencies for core application functionality","Implement conflict-free replicated data type (CRDT) patterns for multi-device synchronization"],"best_for":["Mobile teams building offline-first collaboration tools (notes, tasks, documents)","Applications in low-connectivity regions or with unreliable networks","Developers implementing local-first software architectures"],"limitations":["No built-in conflict resolution — applications must implement custom merge logic for concurrent edits","Sync coordination requires external infrastructure (custom backend, CRDTs, or third-party sync service)","No automatic garbage collection of deleted documents — tombstones accumulate over time","Device storage is finite; no automatic cleanup or archival of old data"],"requires":["React Native 0.60+","External sync mechanism (custom backend, Replicache, Yjs, etc.)","Conflict resolution strategy defined by application"],"input_types":["documents for local storage","sync metadata (timestamps, version vectors)"],"output_types":["persisted documents","sync-ready change logs","conflict indicators"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_5","uri":"capability://search.retrieval.query.filtering.and.document.retrieval.with.predicates","name":"query filtering and document retrieval with predicates","description":"Supports querying documents using filter predicates (equality, comparison, range, logical operators) to retrieve subsets of the document collection matching specified conditions. Queries execute in native code via JSI, returning filtered result sets without loading the entire collection into memory.","intents":["Retrieve documents matching specific criteria (e.g., all tasks with status='pending') without loading entire collection","Implement list views and search features that filter documents by user-defined predicates","Build efficient queries that leverage native indexing for fast retrieval on large collections"],"best_for":["React Native apps with medium-to-large document collections requiring filtered views","Teams building search and filter UIs without external query engines","Applications with simple-to-moderate query complexity"],"limitations":["No full-text search — only structured field predicates supported","Complex queries with multiple joins or aggregations not supported","No query optimization or explain plans — predicate evaluation order is fixed","Indexing strategy is opaque; no control over index creation or query hints"],"requires":["React Native 0.60+","Knowledge of supported predicate operators and syntax","Documents with consistent field names for reliable filtering"],"input_types":["filter predicates (field, operator, value)","logical operators (AND, OR, NOT)"],"output_types":["filtered document arrays","result counts","pagination cursors"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_6","uri":"capability://data.processing.analysis.document.indexing.for.performance.optimization","name":"document indexing for performance optimization","description":"Automatically or manually creates indexes on frequently-queried document fields to accelerate retrieval operations. Indexes are maintained in native code and used transparently during query execution to reduce search time from O(n) to O(log n) or better, depending on index type and query selectivity.","intents":["Speed up queries on large document collections by indexing frequently-filtered fields","Optimize list views and search features that repeatedly query the same fields","Reduce device CPU and battery usage by avoiding full collection scans"],"best_for":["React Native apps with >1000 documents requiring fast queries","Performance-sensitive applications on lower-end devices","Teams optimizing battery life and CPU usage in mobile apps"],"limitations":["Index creation and maintenance overhead not exposed — no visibility into index performance impact","No composite indexes for multi-field queries","Index strategy is fixed — no control over B-tree vs hash vs other index types","Indexes consume additional device storage; no automatic index pruning or cleanup"],"requires":["React Native 0.60+","Knowledge of which fields are frequently queried","Device storage capacity for index overhead"],"input_types":["field names to index","index configuration (if exposed)"],"output_types":["index creation status","query performance metrics (if available)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_7","uri":"capability://data.processing.analysis.batch.document.operations.for.bulk.writes","name":"batch document operations for bulk writes","description":"Supports inserting, updating, or deleting multiple documents in a single operation, reducing JSI bridge overhead compared to individual CRUD calls. Batch operations execute atomically in native code, ensuring consistency across multiple document modifications without interleaving from concurrent operations.","intents":["Import large datasets or sync changes from remote sources efficiently without per-document JSI overhead","Perform multi-document updates atomically to maintain consistency","Reduce latency when modifying related documents that must stay in sync"],"best_for":["React Native apps importing or syncing large datasets","Teams implementing data migration or bulk update features","Applications with high-frequency batch modifications"],"limitations":["Batch size limits may exist to prevent memory exhaustion on device","No partial success — entire batch fails if any document fails validation","Atomic semantics may not extend across multiple batch calls","No progress callbacks during batch execution — all-or-nothing completion"],"requires":["React Native 0.60+","Array of documents for batch operation","Sufficient device memory for batch payload"],"input_types":["arrays of documents","bulk operation type (insert, update, delete)"],"output_types":["operation status (success/failure)","count of affected documents","error details for failed documents (if partial reporting available)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_8","uri":"capability://automation.workflow.document.change.tracking.and.event.notifications","name":"document change tracking and event notifications","description":"Tracks modifications to documents (create, update, delete) and emits events that React Native code can subscribe to, enabling reactive UI updates when data changes. Change events include document deltas or full snapshots, allowing listeners to respond to specific modifications without polling.","intents":["Update React components reactively when underlying documents change without manual refetching","Implement real-time collaboration features where multiple parts of the app respond to document changes","Build change logs or audit trails by subscribing to document modification events"],"best_for":["React Native teams building reactive UIs with live data updates","Collaboration tools requiring real-time change propagation","Applications implementing audit logging or change tracking"],"limitations":["Event listeners are in-process only — no cross-app or cross-device event propagation without external sync","No event replay or history — missed events during app suspension are lost","Event filtering is limited — likely only document-level granularity, not field-level","Memory overhead from maintaining listener subscriptions; no automatic cleanup on component unmount"],"requires":["React Native 0.60+","Event subscription API (likely observer pattern or RxJS-style)","Cleanup logic to unsubscribe listeners on component unmount"],"input_types":["document IDs or collection names to watch","event filter criteria (optional)"],"output_types":["change events (document ID, operation type, delta or snapshot)","event timestamps"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-taladb-react-native__cap_9","uri":"capability://data.processing.analysis.transaction.support.with.rollback.capability","name":"transaction support with rollback capability","description":"Provides transaction semantics for multi-step operations, ensuring that either all changes commit atomically or all roll back if any step fails. Transactions prevent partial updates and maintain database consistency even if the application crashes mid-transaction, using write-ahead logging or similar durability mechanisms.","intents":["Perform multi-document updates that must all succeed or all fail together","Maintain referential integrity when modifying related documents","Ensure crash-safe operations that don't leave the database in inconsistent state"],"best_for":["React Native apps with complex multi-document workflows requiring consistency","Financial or accounting applications requiring ACID guarantees","Teams implementing distributed transactions across local and remote data"],"limitations":["Transaction scope is local to device — no distributed transactions across devices","Long-running transactions may block other operations and impact UI responsiveness","Deadlock detection and resolution not exposed — application must handle deadlock retries","Rollback performance depends on transaction size; large rollbacks may be slow"],"requires":["React Native 0.60+","Transaction API (likely begin/commit/rollback pattern)","Understanding of transaction isolation levels and consistency guarantees"],"input_types":["transaction operations (reads, writes, deletes)","transaction isolation level (if configurable)"],"output_types":["transaction status (committed/rolled back)","error details if transaction fails"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["React Native 0.60+ (JSI support)","iOS 11+ or Android API 21+","Native build tools (Xcode for iOS, Android NDK for Android)","npm or yarn package manager","React Native 0.60+","External embedding service (OpenAI, Hugging Face, Ollama, etc.)","Pre-computed embeddings or embedding generation pipeline","Device storage capacity proportional to embedding count","iOS 11+ or Android API 21+ with hardware-backed keystore support","Device encryption enabled (typically required by default on modern devices)"],"failure_modes":["JSI HostObject bindings are platform-specific (iOS/Android native code required)","No built-in cross-device synchronization — requires external sync layer for multi-device scenarios","Storage capacity limited by device filesystem; no automatic sharding or distributed storage","Requires native module compilation; cannot be used in Expo Go without custom development client","Embedding generation must happen externally (e.g., via OpenAI, Hugging Face APIs) — no built-in embedding model","Vector search performance degrades with large embedding collections (>100k vectors) on mobile devices","No approximate nearest neighbor (ANN) indexing — likely uses brute-force distance calculation","Fixed embedding dimensions; no dynamic dimension support or dimensionality reduction","Encryption key management is device-level — no per-user or per-document key rotation","Encryption overhead adds latency to read/write operations (typically 5-15% performance impact)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.13372595397502757,"quality":0.32,"ecosystem":0.65,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-04-22T08:08:13.652Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":1087,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=taladb-react-native","compare_url":"https://unfragile.ai/compare?artifact=taladb-react-native"}},"signature":"GVyrZk/5PMKd5Ae+SQJxwJwxzldh2Irkk9Qva1w5BmFnETUFtMbd1HTvpal6ws6lZrw81Vul3zkpvx4CEvhvCg==","signedAt":"2026-06-21T04:48:21.778Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/taladb-react-native","artifact":"https://unfragile.ai/taladb-react-native","verify":"https://unfragile.ai/api/v1/verify?slug=taladb-react-native","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}