Endee
Endee is an open-source, cloud-native vector database built for production AI workloads, delivering high-performance vector search with 10x less memory than traditional vector databases like Pinecone, Weaviate, or Qdrant. Designed for developers and enterprises alike, Endee powers the AI use cases that matter most Retrieval-Augmented Generation (RAG), semantic search, agentic AI pipelines, and AI-powered recommendation systems all at scale, without the infrastructure headache. Unlike legacy vector search engines, Endee is built from the ground up to be fast, scalable, and secure without compromising on developer experience. Its architecture handles billions of vector embeddings with low latency and high throughput, making it the right foundation for real-world AI applications, LLM integrations, and similarity search in production. Whether you're a startup shipping your first AI feature or an enterprise running mission-critical machine learning workloads, Endee gives you the performance edge and flexibility to grow open-source at its core, enterprise-ready when you need it.
Average Rating: 5.0/5.0
Total Reviews: 1
Who Is the Company Behind Endee?
- Seller: Endee Labs
- Year Founded: 2025
- HQ Location: Bengaluru, IN
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LinkedIn® Page: www.linkedin.com
18 employees on LinkedIn®
Who Uses This Product?
- Company Size: 100% Medium
What Are Recent G2 Reviews of Endee?
"High-Accuracy, High QPS, Low-Latency Performance with Seamless AI Integration at Lower Infra"
Rating: 5.0/5.0 stars
— Verified User in Internet

