DeployQL/LintDB

Vector Database with support for late interaction and token level embeddings.

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Emerging

LintDB is a specialized database for developers building AI applications that need to find relevant information very quickly from large amounts of text. It takes text documents and generates numerical representations (vectors), then stores them in a highly optimized way. When you give it a query, it swiftly returns the most relevant documents based on these advanced numerical comparisons. This tool is for AI engineers and data scientists working on generative AI or advanced search systems.

No commits in the last 6 months.

Use this if you are an AI engineer building retrieval systems that require highly efficient, nuanced text similarity matching using advanced 'late interaction' models like ColBERT or PLAID.

Not ideal if you are a business user looking for a simple, out-of-the-box search solution or if your application doesn't involve complex vector embeddings and AI models.

AI-engineering Generative-AI-development Information-retrieval Vector-search Machine-learning-infrastructure
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 5 / 25

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Stars

54

Forks

2

Language

C++

License

Apache-2.0

Last pushed

Jun 20, 2025

Commits (30d)

0

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