Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
- neural-network
- search-engine
- knn-algorithm
- hnsw
Repository Index
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A scalable, distributed, collaborative, document-graph database, for the realtime web
- database
- distributed
- distributed-database
- document-database
Translated25 MB lightweight cross-platform database client for 100+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-in AI, MCP Server, CLI, desktop and Docker.
- clickhouse
- database
- database-client
- database-management
Development at the speed of light
- database
- dataoriented
- game-development
- relational
A SQL database in Rust: SQLite-compatible, now also speaking Postgres (experimental). The LLVM of databases.
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
- rust
- infrastructure
- search
- index
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
- analytics
- cube
- postgresql
- mysql
AI search engine and MCP server for bots and agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.
- elasticsearch
- hybrid-search
- search-engine
- vector-search
A vector index built on TurboQuant, written in Rust with Python bindings
- ann
- avx512
- embeddings
- faiss
A safe, extensible ORM and Query Builder for Rust
- rust
- query-builder
- orm
- postgresql
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
- approximate-nearest-neighbor-search
- image-search
- nearest-neighbor-search
- recommender-system
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
- graph-database
- knowledge-graph
- database-as-a-service
- cloud-database
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
- sparse-vector
- hybrid-search
- bm25
- full-text-search
the champagne of beta embedded databases
- incredibly-spicy
- database
- embedded-kv
- concurrent
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
- machine-learning
- computer-vision
- data-format
- deep-learning
The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.
- cloud-native
- rust
- metrics
- logs
Make your JSON data collaborative and version-controlled with CRDTs
- crdt
- local-first
- offline-first
- p2p
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
- redis
- redis-module
- search
- search-engine
Postgres rewritten in Rust, now faster than Postgres and Clickhouse
- ai-assisted-development
- database
- postgres
- postgresql
Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.
An embedded key-value database in pure Rust
- rust
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
- ai
- ai-ocr
- gnn
- graph
Seed your development database with real data ⚡️