eigenDB is a high-performance vector database by Mintlify, providing real-time similarity search, efficient indexing, and enterprise-grade scalability for managing embeddings in AI-driven applications. It seamlessly integrates via APIs and SDKs, making it easy to build semantic search, recommendation, and retrieval features at scale without compromising performance or security.
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#vector database
#AI Integration
#machine learning
#real-time search
#data indexing
#embedding vectors
#API access
#scalable solutions
#metadata filtering
#security controls
#performance monitoring
#high throughput
#Recommendation Systems
#anomaly detection
#Cloud Solutions
#automated management
#performance tuning
#semantic search
#data retrieval
#shard management
...
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eigenDB
eigenDB is a high-performance vector database by Mintlify, providing real-time similarity search, efficient indexing, and enterprise-grade scalability for managing embeddings in AI-driven applications. It seamlessly integrates via APIs and SDKs, making it easy to build semantic search, recommendation, and retrieval features at scale without compromising performance or security.
AI Description Generator
AI Image Description Generator
AI Ebook Generator
AI Product Description Generator
#vector database
#AI Integration
#machine learning
#real-time search
#data indexing
#embedding vectors
#API access
#scalable solutions
#metadata filtering
#security controls
#performance monitoring
#high throughput
#Recommendation Systems
#anomaly detection
#Cloud Solutions
#automated management
#performance tuning
#semantic search
#data retrieval
#shard management
...
Featured
What is eigenDB?
eigenDB is a purpose-built vector database tailored for AI and machine learning workloads. It enables users to ingest, index, and query high-dimensional embedding vectors in real time, supporting billions of vectors with sub-second search times. With features such as automated shard management, dynamic scaling, and multi-dimensional indexing, it integrates via RESTful APIs or client SDKs in popular languages. eigenDB also offers advanced metadata filtering, built-in security controls, and a unified dashboard for monitoring performance. Whether powering semantic search, recommendation engines, or anomaly detection, eigenDB delivers a reliable, high-throughput foundation for embedding-based AI applications.
Who will use eigenDB?
- AI Developers
- Machine Learning Engineers
- Data Scientists
- Product Managers
- Enterprise Architects
How to use the eigenDB?
- Step1: Sign up for an eigenDB account on the Mintlify dashboard.
- Step2: Create a new vector database instance and configure region settings.
- Step3: Ingest embedding vectors using the REST API or Python/JavaScript SDK.
- Step4: Define index parameters and metadata fields for filtering.
- Step5: Execute similarity search or hybrid queries via API endpoints.
- Step6: Monitor usage, latency, and throughput in the eigenDB dashboard.
- Step7: Integrate search results into your application for production use.
Platform
- web
- mac
- windows
- linux
eigenDB's Core Features & Benefits
The Core Features
- Real-time similarity search
- Scalable vector indexing
- RESTful API access
- Client SDKs for Python and JavaScript
- Metadata filtering and hybrid search
- Enterprise-grade security controls
- Automated shard management
- Unified monitoring dashboard
The Benefits
- Sub-second retrieval at scale
- Handles billions of vectors
- Seamless integration via SDKs
- Automatic performance tuning
- Secure access and role management
eigenDB's Main Use Cases & Applications
- Semantic document search for knowledge bases
- Personalized product recommendation engines
- Image and video similarity retrieval
- Anomaly detection in time-series data
- Contextual chatbot response retrieval
eigenDB's Pros & Cons
The Pros
Highly performant and fast in-memory vector database
Lightweight and written in Go for efficiency
Supports similarity search using HNSW algorithm
Simple REST API for easy integration
Open-source with an active development community
The Cons
No information about pricing or enterprise features
No direct mobile or browser extension support
Limited information on scalability and real-world deployment cases
FAQs of eigenDB
eigenDB Company Information
eigenDB Reviews
5/5
eigenDB's Main Competitors and alternatives?
- Pinecone
- Weaviate
- Milvus
- Qdrant
- Redis Vector Store
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