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awesome-vector-database

dangkhoasdc/awesome-vector-database

A curated list of works on high dimensional structure/vector search and databases

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

137views this month

361 stars38 forksLast push Aug 24, 2026 CC0-1.0

Decision brief

A curated list of works on vector databases and high-dimensional structure searching without any implementation details.

Good fit when

  • If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field.
  • When exploring similarity search techniques for high-dimensional data in academic or preliminary stages of development to inform project decisions.

Avoid when

  • To find ready-to-use implementations or specific product releases; this repository serves more as a collection of references rather than real-world tools.
  • If you are looking for direct integration code snippets or detailed tutorials, since the tool is centered on listing and curating resources without delving into practical guides.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Active (27d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/dangkhoasdc/awesome-vector-database

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Curates projects related to vector databases, similarity search, and nearest neighbor search focusing on high-dimensional structures.

Capability facts

No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).

Categories

Tags

README

:mag: Awesome Vector Database A curated list of awesome works related to high dimensional structure/vector search & database Services Google Vector Search (Vertex AI) Pinecone Weaviate [Beginner Guide] Vespa txtai marqo vectara Epsilla algolia Meilisearch nucliadb OpenSearch...

For agents

This page has a .md twin and JSON over the API.

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