# AgentFront: VectoriaDB > AI Agent Infrastructure - MCP servers, secure sandboxes, vector databases, and more... ## VectoriaDB ### v2.3 (latest) #### Documentation ##### Get Started - [Welcome to VectoriaDB](https://docs.agentfront.dev/vectoriadb/get-started/welcome.md): Lightweight in-memory vector database for semantic search with offline embeddings - [Installation](https://docs.agentfront.dev/vectoriadb/get-started/installation.md): Install VectoriaDB in your project - [Quickstart](https://docs.agentfront.dev/vectoriadb/get-started/quickstart.md): Build your first semantic search in minutes - [Updates](https://docs.agentfront.dev/vectoriadb/updates.md): Changelog and release history for VectoriaDB ##### Core Guides ###### Document Operations - [Indexing Basics](https://docs.agentfront.dev/vectoriadb/guides/core/indexing-basics.md): Understanding document indexing in VectoriaDB - [Adding Documents](https://docs.agentfront.dev/vectoriadb/guides/core/adding-documents.md): Add single and batch documents to VectoriaDB - [Updating Documents](https://docs.agentfront.dev/vectoriadb/guides/core/updating-documents.md): Update metadata and text in VectoriaDB - [Removing Documents](https://docs.agentfront.dev/vectoriadb/guides/core/removing-documents.md): Remove documents from VectoriaDB ###### Search - [Basic Search](https://docs.agentfront.dev/vectoriadb/guides/search/basic-search.md): Perform semantic search queries in VectoriaDB - [Filtering Results](https://docs.agentfront.dev/vectoriadb/guides/search/filtering.md): Filter search results by metadata - [Similarity Thresholds](https://docs.agentfront.dev/vectoriadb/guides/search/similarity-thresholds.md): Tune similarity thresholds for your use case - [Search Performance](https://docs.agentfront.dev/vectoriadb/guides/search/performance.md): Optimize search performance in VectoriaDB ###### Storage - [Storage Overview](https://docs.agentfront.dev/vectoriadb/guides/storage/overview.md): Persist embeddings between restarts with storage adapters - [File Storage Adapter](https://docs.agentfront.dev/vectoriadb/guides/storage/file-adapter.md): Persist embeddings to local disk - [Redis Storage Adapter](https://docs.agentfront.dev/vectoriadb/guides/storage/redis-adapter.md): Share embeddings across pods with Redis - [Memory Storage Adapter](https://docs.agentfront.dev/vectoriadb/guides/storage/memory-adapter.md): In-memory storage for development and testing - [Cache Invalidation](https://docs.agentfront.dev/vectoriadb/guides/storage/cache-invalidation.md): Control when VectoriaDB re-indexes documents ###### Scaling - [HNSW Overview](https://docs.agentfront.dev/vectoriadb/guides/scaling/hnsw-overview.md): Scale to large datasets with HNSW indexing - [HNSW Configuration](https://docs.agentfront.dev/vectoriadb/guides/scaling/hnsw-configuration.md): HNSW parameter reference and configuration options - [HNSW Tuning](https://docs.agentfront.dev/vectoriadb/guides/scaling/hnsw-tuning.md): Tune HNSW parameters for your specific use case ##### Alternatives - [TF-IDF Variant](https://docs.agentfront.dev/vectoriadb/guides/alternatives/tfidf.md): Zero-dependency keyword-based search for simple use cases ##### Use Cases - [Tool Discovery](https://docs.agentfront.dev/vectoriadb/guides/use-cases/tool-discovery.md): Index your tools with VectoriaDB for semantic search and intelligent tool recommendations ##### Deployment - [Production Configuration](https://docs.agentfront.dev/vectoriadb/deployment/production-config.md): Configure VectoriaDB for production deployments - [Docker Deployment](https://docs.agentfront.dev/vectoriadb/deployment/docker.md): Deploy VectoriaDB with Docker - [Environment Variables](https://docs.agentfront.dev/vectoriadb/deployment/environment-variables.md): Configuration reference for VectoriaDB environment variables - [Health Monitoring](https://docs.agentfront.dev/vectoriadb/deployment/health-monitoring.md): Monitor VectoriaDB health and performance ##### Integrations - [Integrations Overview](https://docs.agentfront.dev/vectoriadb/integrations/overview.md): Integrate VectoriaDB with popular frameworks and tools - [FrontMCP Integration](https://docs.agentfront.dev/vectoriadb/integrations/frontmcp.md): Use VectoriaDB with FrontMCP for intelligent tool discovery - [Enclave Integration](https://docs.agentfront.dev/vectoriadb/integrations/enclave.md): Use VectoriaDB with Enclave for semantic search in sandboxed environments - [Express Integration](https://docs.agentfront.dev/vectoriadb/integrations/express.md): Integrate VectoriaDB into Express.js applications - [Next.js Integration](https://docs.agentfront.dev/vectoriadb/integrations/nextjs.md): Integrate VectoriaDB into Next.js applications ##### Troubleshooting - [FAQ](https://docs.agentfront.dev/vectoriadb/troubleshooting/faq.md): Frequently asked questions about VectoriaDB - [Common Errors](https://docs.agentfront.dev/vectoriadb/troubleshooting/common-errors.md): Solutions for common VectoriaDB errors #### API Reference ##### Overview - [API Reference Overview](https://docs.agentfront.dev/vectoriadb/api-reference/overview.md): Complete API reference for VectoriaDB ##### VectoriaDB - [VectoriaDB Constructor](https://docs.agentfront.dev/vectoriadb/api-reference/vectoriadb/constructor.md): Create a new VectoriaDB instance - [initialize()](https://docs.agentfront.dev/vectoriadb/api-reference/vectoriadb/initialize.md): Initialize the VectoriaDB instance - [add() / addMany()](https://docs.agentfront.dev/vectoriadb/api-reference/vectoriadb/add.md): Add documents to the database - [search()](https://docs.agentfront.dev/vectoriadb/api-reference/vectoriadb/search.md): Search for documents using semantic similarity - [update() / updateMetadata()](https://docs.agentfront.dev/vectoriadb/api-reference/vectoriadb/update.md): Update documents in the database - [remove() / removeMany() / clear()](https://docs.agentfront.dev/vectoriadb/api-reference/vectoriadb/remove.md): Remove documents from the database - [Query Methods](https://docs.agentfront.dev/vectoriadb/api-reference/vectoriadb/query-methods.md): Methods for querying documents - [Storage Methods](https://docs.agentfront.dev/vectoriadb/api-reference/vectoriadb/storage-methods.md): Methods for persisting and loading embeddings ##### TFIDFVectoria - [TFIDFVectoria Constructor](https://docs.agentfront.dev/vectoriadb/api-reference/tfidf-vectoria/constructor.md): Create a zero-dependency TF-IDF search index - [TFIDFVectoria Methods](https://docs.agentfront.dev/vectoriadb/api-reference/tfidf-vectoria/methods.md): Methods for the TFIDFVectoria class ##### Storage Adapters - [FileStorageAdapter](https://docs.agentfront.dev/vectoriadb/api-reference/storage-adapters/file-adapter.md): File-based storage adapter API reference - [RedisStorageAdapter](https://docs.agentfront.dev/vectoriadb/api-reference/storage-adapters/redis-adapter.md): Redis-based storage adapter API reference - [MemoryStorageAdapter](https://docs.agentfront.dev/vectoriadb/api-reference/storage-adapters/memory-adapter.md): In-memory storage adapter API reference ##### Interfaces - [Configuration Interfaces](https://docs.agentfront.dev/vectoriadb/api-reference/interfaces/config.md): VectoriaConfig and related configuration types - [Document Interfaces](https://docs.agentfront.dev/vectoriadb/api-reference/interfaces/documents.md): DocumentMetadata and DocumentEmbedding types - [Search Interfaces](https://docs.agentfront.dev/vectoriadb/api-reference/interfaces/search.md): SearchOptions and SearchResult types - [Storage Interfaces](https://docs.agentfront.dev/vectoriadb/api-reference/interfaces/storage.md): Storage adapter interfaces and types ##### Errors - [Error Classes](https://docs.agentfront.dev/vectoriadb/api-reference/errors.md): VectoriaDB error types and codes ### v2.2 #### Documentation ##### Get Started - [Welcome to VectoriaDB](https://docs.agentfront.dev/vectoriadb/v/2.2/get-started/welcome.md): Lightweight in-memory vector database for semantic search with offline embeddings - [Installation](https://docs.agentfront.dev/vectoriadb/v/2.2/get-started/installation.md): Install VectoriaDB in your project - [Quickstart](https://docs.agentfront.dev/vectoriadb/v/2.2/get-started/quickstart.md): Build your first semantic search in minutes - [Updates](https://docs.agentfront.dev/vectoriadb/v/2.2/updates.md): Changelog and release history for VectoriaDB ##### Core Guides ###### Document Operations - [Indexing Basics](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/core/indexing-basics.md): Understanding document indexing in VectoriaDB - [Adding Documents](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/core/adding-documents.md): Add single and batch documents to VectoriaDB - [Updating Documents](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/core/updating-documents.md): Update metadata and text in VectoriaDB - [Removing Documents](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/core/removing-documents.md): Remove documents from VectoriaDB ###### Search - [Basic Search](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/search/basic-search.md): Perform semantic search queries in VectoriaDB - [Filtering Results](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/search/filtering.md): Filter search results by metadata - [Similarity Thresholds](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/search/similarity-thresholds.md): Tune similarity thresholds for your use case - [Search Performance](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/search/performance.md): Optimize search performance in VectoriaDB ###### Storage - [Storage Overview](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/storage/overview.md): Persist embeddings between restarts with storage adapters - [File Storage Adapter](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/storage/file-adapter.md): Persist embeddings to local disk - [Redis Storage Adapter](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/storage/redis-adapter.md): Share embeddings across pods with Redis - [Memory Storage Adapter](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/storage/memory-adapter.md): In-memory storage for development and testing - [Cache Invalidation](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/storage/cache-invalidation.md): Control when VectoriaDB re-indexes documents ###### Scaling - [HNSW Overview](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/scaling/hnsw-overview.md): Scale to large datasets with HNSW indexing - [HNSW Configuration](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/scaling/hnsw-configuration.md): HNSW parameter reference and configuration options - [HNSW Tuning](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/scaling/hnsw-tuning.md): Tune HNSW parameters for your specific use case ##### Alternatives - [TF-IDF Variant](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/alternatives/tfidf.md): Zero-dependency keyword-based search for simple use cases ##### Use Cases - [Tool Discovery](https://docs.agentfront.dev/vectoriadb/v/2.2/guides/use-cases/tool-discovery.md): Index your tools with VectoriaDB for semantic search and intelligent tool recommendations ##### Deployment - [Production Configuration](https://docs.agentfront.dev/vectoriadb/v/2.2/deployment/production-config.md): Configure VectoriaDB for production deployments - [Docker Deployment](https://docs.agentfront.dev/vectoriadb/v/2.2/deployment/docker.md): Deploy VectoriaDB with Docker - [Environment Variables](https://docs.agentfront.dev/vectoriadb/v/2.2/deployment/environment-variables.md): Configuration reference for VectoriaDB environment variables - [Health Monitoring](https://docs.agentfront.dev/vectoriadb/v/2.2/deployment/health-monitoring.md): Monitor VectoriaDB health and performance ##### Integrations - [Integrations Overview](https://docs.agentfront.dev/vectoriadb/v/2.2/integrations/overview.md): Integrate VectoriaDB with popular frameworks and tools - [FrontMCP Integration](https://docs.agentfront.dev/vectoriadb/v/2.2/integrations/frontmcp.md): Use VectoriaDB with FrontMCP for intelligent tool discovery - [Enclave Integration](https://docs.agentfront.dev/vectoriadb/v/2.2/integrations/enclave.md): Use VectoriaDB with Enclave for semantic search in sandboxed environments - [Express Integration](https://docs.agentfront.dev/vectoriadb/v/2.2/integrations/express.md): Integrate VectoriaDB into Express.js applications - [Next.js Integration](https://docs.agentfront.dev/vectoriadb/v/2.2/integrations/nextjs.md): Integrate VectoriaDB into Next.js applications ##### Troubleshooting - [FAQ](https://docs.agentfront.dev/vectoriadb/v/2.2/troubleshooting/faq.md): Frequently asked questions about VectoriaDB - [Common Errors](https://docs.agentfront.dev/vectoriadb/v/2.2/troubleshooting/common-errors.md): Solutions for common VectoriaDB errors #### API Reference ##### Overview - [API Reference Overview](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/overview.md): Complete API reference for VectoriaDB ##### VectoriaDB - [VectoriaDB Constructor](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/vectoriadb/constructor.md): Create a new VectoriaDB instance - [initialize()](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/vectoriadb/initialize.md): Initialize the VectoriaDB instance - [add() / addMany()](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/vectoriadb/add.md): Add documents to the database - [search()](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/vectoriadb/search.md): Search for documents using semantic similarity - [update() / updateMetadata()](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/vectoriadb/update.md): Update documents in the database - [remove() / removeMany() / clear()](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/vectoriadb/remove.md): Remove documents from the database - [Query Methods](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/vectoriadb/query-methods.md): Methods for querying documents - [Storage Methods](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/vectoriadb/storage-methods.md): Methods for persisting and loading embeddings ##### TFIDFVectoria - [TFIDFVectoria Constructor](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/tfidf-vectoria/constructor.md): Create a zero-dependency TF-IDF search index - [TFIDFVectoria Methods](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/tfidf-vectoria/methods.md): Methods for the TFIDFVectoria class ##### Storage Adapters - [FileStorageAdapter](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/storage-adapters/file-adapter.md): File-based storage adapter API reference - [RedisStorageAdapter](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/storage-adapters/redis-adapter.md): Redis-based storage adapter API reference - [MemoryStorageAdapter](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/storage-adapters/memory-adapter.md): In-memory storage adapter API reference ##### Interfaces - [Configuration Interfaces](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/interfaces/config.md): VectoriaConfig and related configuration types - [Document Interfaces](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/interfaces/documents.md): DocumentMetadata and DocumentEmbedding types - [Search Interfaces](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/interfaces/search.md): SearchOptions and SearchResult types - [Storage Interfaces](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/interfaces/storage.md): Storage adapter interfaces and types ##### Errors - [Error Classes](https://docs.agentfront.dev/vectoriadb/v/2.2/api-reference/errors.md): VectoriaDB error types and codes ### v2.1 #### Documentation ##### Get Started - [Welcome to VectoriaDB](https://docs.agentfront.dev/vectoriadb/v/2.1/get-started/welcome.md): Lightweight in-memory vector database for semantic search with offline embeddings - [Installation](https://docs.agentfront.dev/vectoriadb/v/2.1/get-started/installation.md): Install VectoriaDB in your project - [Quickstart](https://docs.agentfront.dev/vectoriadb/v/2.1/get-started/quickstart.md): Build your first semantic search in minutes ##### Core Guides ###### Document Operations - [Indexing Basics](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/core/indexing-basics.md): Understanding document indexing in VectoriaDB - [Adding Documents](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/core/adding-documents.md): Add single and batch documents to VectoriaDB - [Updating Documents](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/core/updating-documents.md): Update metadata and text in VectoriaDB - [Removing Documents](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/core/removing-documents.md): Remove documents from VectoriaDB ###### Search - [Basic Search](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/search/basic-search.md): Perform semantic search queries in VectoriaDB - [Filtering Results](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/search/filtering.md): Filter search results by metadata - [Similarity Thresholds](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/search/similarity-thresholds.md): Tune similarity thresholds for your use case - [Search Performance](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/search/performance.md): Optimize search performance in VectoriaDB ###### Storage - [Storage Overview](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/storage/overview.md): Persist embeddings between restarts with storage adapters - [File Storage Adapter](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/storage/file-adapter.md): Persist embeddings to local disk - [Redis Storage Adapter](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/storage/redis-adapter.md): Share embeddings across pods with Redis - [Memory Storage Adapter](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/storage/memory-adapter.md): In-memory storage for development and testing - [Cache Invalidation](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/storage/cache-invalidation.md): Control when VectoriaDB re-indexes documents ###### Scaling - [HNSW Overview](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/scaling/hnsw-overview.md): Scale to large datasets with HNSW indexing - [HNSW Configuration](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/scaling/hnsw-configuration.md): HNSW parameter reference and configuration options - [HNSW Tuning](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/scaling/hnsw-tuning.md): Tune HNSW parameters for your specific use case ##### Alternatives - [TF-IDF Variant](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/alternatives/tfidf.md): Zero-dependency keyword-based search for simple use cases ##### Use Cases - [Tool Discovery](https://docs.agentfront.dev/vectoriadb/v/2.1/guides/use-cases/tool-discovery.md): Index your tools with VectoriaDB for semantic search and intelligent tool recommendations ##### Deployment - [Production Configuration](https://docs.agentfront.dev/vectoriadb/v/2.1/deployment/production-config.md): Configure VectoriaDB for production deployments - [Docker Deployment](https://docs.agentfront.dev/vectoriadb/v/2.1/deployment/docker.md): Deploy VectoriaDB with Docker - [Environment Variables](https://docs.agentfront.dev/vectoriadb/v/2.1/deployment/environment-variables.md): Configuration reference for VectoriaDB environment variables - [Health Monitoring](https://docs.agentfront.dev/vectoriadb/v/2.1/deployment/health-monitoring.md): Monitor VectoriaDB health and performance ##### Integrations - [Integrations Overview](https://docs.agentfront.dev/vectoriadb/v/2.1/integrations/overview.md): Integrate VectoriaDB with popular frameworks and tools - [FrontMCP Integration](https://docs.agentfront.dev/vectoriadb/v/2.1/integrations/frontmcp.md): Use VectoriaDB with FrontMCP for intelligent tool discovery - [Enclave Integration](https://docs.agentfront.dev/vectoriadb/v/2.1/integrations/enclave.md): Use VectoriaDB with Enclave for semantic search in sandboxed environments - [Express Integration](https://docs.agentfront.dev/vectoriadb/v/2.1/integrations/express.md): Integrate VectoriaDB into Express.js applications - [Next.js Integration](https://docs.agentfront.dev/vectoriadb/v/2.1/integrations/nextjs.md): Integrate VectoriaDB into Next.js applications ##### Troubleshooting - [FAQ](https://docs.agentfront.dev/vectoriadb/v/2.1/troubleshooting/faq.md): Frequently asked questions about VectoriaDB - [Common Errors](https://docs.agentfront.dev/vectoriadb/v/2.1/troubleshooting/common-errors.md): Solutions for common VectoriaDB errors #### API Reference ##### Overview - [API Reference Overview](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/overview.md): Complete API reference for VectoriaDB ##### VectoriaDB - [VectoriaDB Constructor](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/vectoriadb/constructor.md): Create a new VectoriaDB instance - [initialize()](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/vectoriadb/initialize.md): Initialize the VectoriaDB instance - [add() / addMany()](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/vectoriadb/add.md): Add documents to the database - [search()](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/vectoriadb/search.md): Search for documents using semantic similarity - [update() / updateMetadata()](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/vectoriadb/update.md): Update documents in the database - [remove() / removeMany() / clear()](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/vectoriadb/remove.md): Remove documents from the database - [Query Methods](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/vectoriadb/query-methods.md): Methods for querying documents - [Storage Methods](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/vectoriadb/storage-methods.md): Methods for persisting and loading embeddings ##### TFIDFVectoria - [TFIDFVectoria Constructor](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/tfidf-vectoria/constructor.md): Create a zero-dependency TF-IDF search index - [TFIDFVectoria Methods](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/tfidf-vectoria/methods.md): Methods for the TFIDFVectoria class ##### Storage Adapters - [FileStorageAdapter](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/storage-adapters/file-adapter.md): File-based storage adapter API reference - [RedisStorageAdapter](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/storage-adapters/redis-adapter.md): Redis-based storage adapter API reference - [MemoryStorageAdapter](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/storage-adapters/memory-adapter.md): In-memory storage adapter API reference ##### Interfaces - [Configuration Interfaces](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/interfaces/config.md): VectoriaConfig and related configuration types - [Document Interfaces](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/interfaces/documents.md): DocumentMetadata and DocumentEmbedding types - [Search Interfaces](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/interfaces/search.md): SearchOptions and SearchResult types - [Storage Interfaces](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/interfaces/storage.md): Storage adapter interfaces and types ##### Errors - [Error Classes](https://docs.agentfront.dev/vectoriadb/v/2.1/api-reference/errors.md): VectoriaDB error types and codes ### v2.0 #### Get Started - [VectoriaDB](https://docs.agentfront.dev/vectoriadb/v/2.0/introduction.md): Lightweight in-memory vector database for semantic search with offline embeddings #### Guides - [Indexing Documents](https://docs.agentfront.dev/vectoriadb/v/2.0/guides/indexing.md): Adding and updating documents in VectoriaDB - [Semantic Search](https://docs.agentfront.dev/vectoriadb/v/2.0/guides/search.md): Querying the index with natural language and filters - [Persistence](https://docs.agentfront.dev/vectoriadb/v/2.0/guides/persistence.md): Storage adapters for persisting embeddings between restarts - [HNSW Indexing](https://docs.agentfront.dev/vectoriadb/v/2.0/guides/hnsw.md): Scale to large datasets with HNSW approximate nearest neighbor search - [TF-IDF Variant](https://docs.agentfront.dev/vectoriadb/v/2.0/guides/tfidf.md): Zero-dependency keyword-based search for simple use cases - [Tool Discovery](https://docs.agentfront.dev/vectoriadb/v/2.0/guides/tool-discovery.md): Index your tools with VectoriaDB for semantic search and intelligent tool recommendations #### Reference - [Error Handling](https://docs.agentfront.dev/vectoriadb/v/2.0/reference/errors.md): Production-ready error handling with typed error classes