awesome-vector-database
A curated list of works on high dimensional structure/vector search and databases
GraphCanon updated 2d · GitHub synced 2d
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
- Steady (33d since push)
- As of 2d
- Provenance
- Not a fork · Personal account
- As of 2d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/dangkhoasdc/awesome-vector-databaseHow 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
- MyScale
- QdrantCloud
- zilliz
- OpenSearch's AlibabaCloud
- Typesense's Cloud
- MongoDB Atlas Vector Search
- SuperDuperDB
- KBD.AI
- Denser Retriever
- Rivestack — Managed PostgreSQL with pgvector for AI workloads. HNSW indexing, built-in SQL editor with embedding search, free tier available.
Comparisons
Libraries & Engines
Multidimensional data / Vectors
- :star: 🥇 Vector DB Feature Matrix
- :star: Faiss Paper
- ArcadeDB - open-source multi-model database with native vector embedding support alongside graph, document, key-value and time series models
- Typesense
- Qdrant
- annoy
- NGT
- pgvector
- Chroma - AI memory with semantic, full-text, & regex search
- LlamaIndex
- Epsilla
- jvector
- RAFT
- Vald
- Voyager
- tinyvector
- USearch
- vearch
- MRPT
- milvus
- infinity
- havenask
- chromem-go
- OasysDB [Notebook]
- Meilisearch - Search engine API for Semantic (vectors), full-text & hybrid search
- arroy - Approximate Nearest Neighbors Rust library
- bleve
- cuVS
- vsag
- sqlite-vec
- MyScaleDB
- hora
- [arroy](https://github.com/m
For agents
This page has a .md twin and JSON over the API.