
KDB.AI

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About
KDB.AI is a scalable vector database designed for AI applications, specializing in contextual and time series search. It allows users to build AI apps, find patterns in data, and seamlessly integrate structured and unstructured data. Key use cases include AI Research Assistant for SEC filings and market data, Personalized Portfolio Manager for client rebalancing, Real-Time Alpha & Beta Extraction for market shifts, and Image Processing & Recognition for real-time actions. KDB.AI offers Multimodal RAG for handling text, video, audio, and images, Multi-Index Search for flexibility, and On-Disk Indexing with qHNSW and qFlat. It boasts Zero Embedding for faster temporal data search and Killer Compression for significant memory and storage reduction. Dynamic Hybrid Search combines similarity, exact, and literal search. It integrates with popular Gen AI tools like OpenAI, LangChain, LlamaIndex, and Hugging Face.
Platform
Task
Features
• on-disk indexing
• multi-index search
• temporal similarity search
• metadata filtering
• killer compression
• multimodal rag
• dynamic hybrid search
• zero embedding for temporal data
Pricing Plans
Commercial Offering
Unknown Price• Custom configuration
• On-premises or cloud deployment
• KX Support Services
Free Trial
Free Plan• 90-day trial period
• Unlimited memory
• Unlimited storage
• Unlimited reads/writes
• Unlimited tables/index limits
• HNSW, IVFPQ, Flat, TSC, TSS, qFlat, qHNSW indexes
• Euclidean, Cosine Similarity, Dot Product metrics
• Sample applications
Job Opportunities
There are currently no job postings for this AI tool.
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