Awesome Vector Databases

A curated list of vector database engines, managed and serverless offerings, SDKs, benchmarking and evaluation tools, and research papers for building AI applications.

Visit website vectordb.ever.works

Awesome Vector Databases is a curated, categorized directory of resources for working with vector databases. It groups entries into areas such as core vector database engines, managed and serverless offerings, Postgres and other relational vector extensions, embedded and edge databases, SDKs and libraries, benchmarking and evaluation tools, and research papers and surveys.

The list is built and published with the Ever Works Directory Builder platform, and its public-facing website presents the same categorized entries as a browsable site rather than only a README table of contents.

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SQLBraid
clickin.github.io
A SQL-first data-access toolkit for TypeScript that keeps ordinary SQL visible in tagged template literals, binds interpolated values safely by default, supports readable conditional SQL directives, and lets a schema validate the returned rows.
- Libraries
- Databases
QQL - SQL for Qdrant and vector search
qql.veristamp.in
A SQL-style query language and toolchain for the Qdrant vector database, covering dense, sparse and hybrid search, filtering and multitenancy, with the same grammar running from a CLI, Python, Node.js, Rust, WebAssembly and an in-process edge engine.
- Databases
Fast Knowledge
github.com
A self-hosted, Java-based knowledge base for small and mid-sized organizations, turning internal documents into a searchable, question-answerable and audit-exportable knowledge asset with hybrid retrieval and Docker deployment.
- RAG
- Databases

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SQLBraid

QQL - SQL for Qdrant and vector search

Fast Knowledge

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