PulsejetDB — High-Performance AI Database for Massive Scale AI
PulsejetDB is high performance, production reliability and developer experience oriented AI database.
What is PulsejetDB?
PulsejetDB is AI database where you can use it for both rapid prototyping and also enterprise grade deployment with a simple lift-and-shift approach. We want you to spend more time on building, rather spending time on setting up the infrastructure.
We are committed to make high-performance database system with persistence as it’s first class citizen. In addition to all, we provide various index types and custom indexes developed in-house for your workloads.
Pulsejet runs on its’ own index called ANODE for your vector operations to have a balanced triple of:
- Search Accuracy
- Vector Compression
- Search Speed
Use Cases
Common applications of PulsejetDB include AI and LLM use cases, machine learning use cases, and more. See a complete list with links below.
RAG Development
Develop and provide embeddings for your RAG models.
Real-time Embedding Generation
Generate embeddings from message busses right into Pulsejet.
Vector Serving
Store, persist and serve embeddings from your database with simple queries.
AI Workflow Automation
Develop your own chat bot or provide contexts to your chatbots.
PulsejetDB — High-Performance AI Database for Massive Scale AI
PulsejetDB is high performance, production reliability and developer experience oriented AI database.
What is PulsejetDB?
PulsejetDB is AI database where you can use it for both rapid prototyping and also enterprise grade deployment with a simple lift-and-shift approach. We want you to spend more time on building, rather spending time on setting up the infrastructure.
We are committed to make high-performance database system with persistence as it’s first class citizen. In addition to all, we provide various index types and custom indexes developed in-house for your workloads.
Pulsejet runs on its’ own index called ANODE for your vector operations to have a balanced triple of:
- Search Accuracy
- Vector Compression
- Search Speed
Use Cases
Common applications of PulsejetDB include AI and LLM use cases, machine learning use cases, and more. See a complete list with links below.
RAG Development
Develop and provide embeddings for your RAG models.
Real-time Embedding Generation
Generate embeddings from message busses right into Pulsejet.
Vector Serving
Store, persist and serve embeddings from your database with simple queries.
AI Workflow Automation
Develop your own chat bot or provide contexts to your chatbots.