VectorDBZ
Explore and debug vector databases visually.
VectorDBZ launched on March 31, 2026 with 3 votes, #3,303 of 23,380 launches that month and more than 50% of that year's launches.
What it does
VectorDBZ - Professional desktop application for managing and analyzing vector databases. Connect to Qdrant, Weaviate, Milvus, ChromaDB, Pinecone, pgvector (PostgreSQL), and more. Enterprise-grade features for vector analysis, visualization, and performance optimization.
VectorDBZ - Open-source desktop application for exploring, managing, and analyzing vector databases. Connect to Qdrant, Weaviate, Milvus, ChromaDB, Pinecone, pgvector (PostgreSQL), Elasticsearch, RedisSearch, and more.
Connect to Qdrant, Weaviate, Milvus, ChromaDB, Pinecone, pgvector, Elasticsearch, RedisSearch, and more. Browse collections, run vector and hybrid searches, and visualize embeddings in 2D/3D. Connects directly to your databases. No cloud proxy, no data leaving your machine, no subscription. Connect to 8+ vector databases. Manage multiple named connections with encrypted credential storage. Interactive 2D/3D scatter plots with UMAP, t-SNE, PCA dimensionality reduction and K-means/DBSCAN clustering. Write custom JavaScript embedding functions. Templates for OpenAI, Cohere, Hugging Face, and a local test server. Local-first architecture with HTTPS/TLS and encrypted credentials. Your data never…from vectordbz.com
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VectorDBZ, a desktop GUI for vector databasesJan 2026 · github.com · ▲13Hi HN, I built VectorDBZ, a cross-platform desktop app for exploring and analyzing vector databases like Qdrant, Weaviate, Milvus, and ChromaDB. It lets you browse collections, inspect vectors and metadata, run similarity searches, and visualize embeddings without writing custom scripts. GitHub (downloads and issues): https://github.com/vectordbz/vectordbz Feedback welcome. If it’s useful, starring the repo helps keep me motivated. Thanks.
Postgres as a VectorDB GUI2024 · github.com · ▲162Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.
Speeding up PostgreSQL through vectorized execution2014 · github.com · ▲332Vectorized executor to speed up PostgreSQL. Contribute to citusdata/postgres_vectorization_test development by creating an account on GitHub.
pg_flame – flamegraph visualizations of PostgreSQL query plans2019 · github.com · ▲321A flamegraph generator for Postgres EXPLAIN ANALYZE output. - mgartner/pg_flame
HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
- VYVectorVFS, your filesystem as a vector database2025 · vectorvfs.readthedocs.io · ▲279
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