Skald

Skald is an innovative open-source Retrieval Augmented Generation (RAG) API that empowers developers to integrate advanced AI capabilities into their applications with unprecedented ease. It eliminates the need for extensive, costly, and time-consuming development of RAG infrastructure, allowing teams to focus on creating intelligent AI agents rather than managing complex backend systems. Skald handles critical components such as memory, context management, embeddings, and semantic search, providing a robust and scalable foundation for AI-native applications.

How to use Skald

Developers can get started with Skald in seconds by integrating its simple yet powerful API into their preferred programming language, including Node.js, Python, Ruby, Go, C#, PHP, and cURL. The core functionality revolves around two main endpoints: createMemo to store any form of knowledge (documents, notes, code snippets) and chat to interact with this stored knowledge using natural language queries. SDKs are available for Node.js, Python, and PHP, with more coming soon. Users can also manage Skald from the terminal via CLI or integrate it into CI/CD pipelines. An official MCP server is available to enable agents to store and retrieve context.

Core Features of Skald

• Open-source RAG API: Provides a ready-to-use API for Retrieval Augmented Generation.
• Simplified Knowledge Storage: One line of code to store "memos" (documents, notes, code snippets).
• Automatic Embeddings & Chunking: Handles the complex processes of breaking down data and generating embeddings automatically.
• Built-in Context Management: Manages context windows efficiently for AI agents.
• Production-Ready Semantic Search: Enables search that understands meaning, not just keywords, for instant relevant context retrieval.
• Persistent Long-term Memory: Offers context, knowledge base, and memory in a single, zero-configuration infrastructure.
• Auto-scaling Infrastructure: Automatically scales to meet demand without manual intervention.
• Optimized Retrieval Out of the Box: Ensures efficient and effective data retrieval.
• Real-time Sync & Updates: Keeps knowledge base synchronized and updated.
• Developer-First SDKs & CLI: Supports multiple languages (Node.js, Python, PHP, etc.) and command-line interface for easy integration and management.

Use Cases for Skald

Skald is ideal for developers and teams building the next generation of intelligent applications that require robust knowledge management and conversational AI capabilities. It can be used for creating AI-powered chatbots that answer questions based on specific documentation, building intelligent assistants that remember past interactions, developing semantic search engines for internal knowledge bases, or enabling AI agents to access and utilize long-term memory for more sophisticated tasks. Any application needing to store, retrieve, and converse with large volumes of proprietary or dynamic data can benefit from Skald's RAG API.

Advantages of Skald

The primary advantage of Skald is its ability to significantly reduce the development time and cost associated with building and maintaining RAG infrastructure. By abstracting away complexities like vector databases, chunking logic, and context management, Skald allows developers to focus on core application logic and agent intelligence. Its open-source nature, developer-friendly APIs, and support for various programming languages make it highly accessible. Skald offers production-ready features like semantic search, persistent memory, and auto-scaling, ensuring reliability and performance for AI applications from prototyping to large-scale deployments. The transparent pricing model, including a generous free tier, further enhances its appeal.

Pricing and Plans

Skald offers a simple and transparent pricing structure designed to fit various needs:

• Free Plan: $0 forever. Includes 1,000 writes/month, 100 chat queries/month, 1 project, basic semantic search, file uploads up to 5MB, Skald-defined LLM, and community support. Perfect for exploration and prototyping.
• Basic Plan: $20/month. Provides 10,000 writes/month ($0.002 per operation afterwards), 1,000 chat queries/month ($0.03 per query afterwards), up to 3 projects, advanced semantic search, file uploads up to 100MB, configurable LLM, and email support. Ideal for individual developers and small projects.
• Pro Plan: $250/month. Offers 100,000 writes/month ($0.002 per operation afterwards), 10,000 chat queries/month ($0.03 per query afterwards), unlimited projects, advanced semantic search, file uploads up to 100MB, configurable RAG pipeline, and priority support. Suited for growing teams and production applications.
• Enterprise Plan: Custom pricing. Contact Skald for details. Includes unlimited writes, unlimited chat queries, unlimited projects, custom embeddings model, dedicated support, managed self-hosted deployment option, custom integrations, and SLA. Designed for large-scale deployments.

Over-limit usage is permitted and charged at pay-as-you-go rates: $0.002 per memo operation and $0.03 per chat query, with no service interruptions.