All KDB.AI Integrations¶
This page includes a list of all KDB.AI integrations with rerankers, AI services, language models, and data management platforms.
Unlock the full potential of your data with KDB.AI’s integrations:
| Name | Logo | Category | Description | Resources |
|---|---|---|---|---|
| Azure AI |  |
Platform | Leverage KDB.AI through the Microsoft Azure marketplace for scalable and powerful AI solutions, ensuring seamless integration and deployment. | KDB.AI docs |
| Claude Code |  |
Developer Tools | Install the kdbai-knowledge plugin so Claude Code answers schema, search, and sizing questions from KDB.AI-specific guidance rather than general model knowledge. |
KDB.AI docs GitHub plugin |
| Codex |  |
Developer Tools | Add the kdbai-knowledge plugin to Codex to get index, schema, and sizing answers that use the same names, parameters, and types as this documentation. |
KDB.AI docs GitHub plugin |
| Cohere |  |
Platform | Utilize advanced natural language processing tools to enhance text understanding and generation, improving the quality of your applications. | KDB.AI docs |
| Hugging Face |  |
Models | Deploy cutting-edge machine learning models on scalable infrastructure, simplifying the transition from prototype to production with ease. | KDB.AI docs GitHub sample |
| Jina AI |  |
Platform | Harness powerful AI models to create high-quality text embeddings, tailored to specific domains and languages for precise data handling. | KDB.AI docs |
| kdb+ |  |
Data Management | Seamlessly integrate, transform, and analyze time-series data with kdb+, a high-performance database designed for complex data processing. | KDB.AI docs GitHub sample |
| LangChain |  |
Framework | Integrate language models with chain-of-thought reasoning for sophisticated problem-solving and decision-making support in complex scenarios. | KDB.AI docs GitHub sample |
| LlamaIndex |  |
Framework | Employ Llama for efficient indexing and information retrieval, enhancing data accessibility and analysis across large datasets. | KDB.AI docs GitHub samples |
| MCP Server |  |
Developer Tools | Connect any client that speaks the Model Context Protocol to KDB.AI. The server exposes curated prompts, tools, and resources, and blocks destructive operations. | KDB.AI docs GitHub repo |
| Nvidia cuVS |  |
Data Management | Use GPU-accelerated vector search for high-performance approximate nearest neighbor (ANN) indexing and retrieval at scale. | KDB.AI docs |
| OpenAI |  |
Models | Use advanced AI models like GPT to create innovative applications and enhance user experiences with intelligent, context-aware capabilities. | KDB.AI docs GitHub sample |
| Unstructured |  |
Data Management | Load unstructured data into KDB.AI with a single click, enabling seamless data integration and comprehensive analysis for diverse data types. | KDB.AI docs GitHub sample |
| Vector IO |  |
Data Management | Efficiently manage and integrate vector data, supporting robust data processing and high-performance analysis for advanced applications. | KDB.AI docs |
| Voyage AI |  |
Platform | Implement state-of-the-art embedding models and rerankers for superior semantic search and retrieval-augmented generation (RAG) capabilities. | KDB.AI docs |