Ingest your vector data, for your AI models to integrated PulsejetDB.
Postgres
Kafka
H. Face
Ingest
Vectorize your data from various sources.
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import pulsejet as pj
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# Launch pulsejetdb
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pj.launch(...)
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# Insert vectors into your db
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pj.insert(vector_data)
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# Run your queries
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pj.query(query_vector)
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# Profit!
Query your vectors.
Locally or in the cloud. Doesn't matter...
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query_stats
start
assessment
Lean back and wait for Pulsejet to optimize.
Pulsejet dynamically analyse and optimize your workload while its serving...
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· VALUE
Build GenAI applications closer to data
Give your GenAI what it needs with local model development. Empower ML models & drive data-backed decisions.
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Effortless Local Development
Ditch the limitations of traditional databases. PulsejetDB's blazing-fast performance lets you work with massive datasets seamlessly on your local machine. Iterate faster, explore complex data models, and say goodbye to sluggish query times.
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Data Exploration Made Easy
PulsejetDB excels at handling complex data structures like vectors and tensors. This makes it perfect for tasks like image and text similarity searches, recommendation systems, and real-time analytics. Explore your data like never before and uncover hidden insights that power next-generation applications.
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Developer-Friendly by Design
We understand developers. PulsejetDB boasts an intuitive interface and familiar APIs, making it easy to integrate into your existing workflow. Spend less time wrestling with complex database tools and more time building amazing applications. Don't pay multi figures to run your AI infrastructure.
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Cloud-Native Scalability
PulsejetDB isn't just for local development. Our data platform built upon it seamlessly extends to the cloud. Leverage the power of cloud infrastructure to scale your data storage and processing as your needs evolve. Collaborate with your team effortlessly, no matter their location.