A scalable, distributed, collaborative, document-graph database, for the realtime web
- database
- distributed
- distributed-database
- document-database
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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
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 live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
- redis
- redis-module
- search
- search-engine
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
- ai
- ai-ocr
- gnn
- graph
The open source and enterprise-ready webhooks service 🦀
- webhooks
- rust
- webhook-server
- webhook-service
:rocket: An open source alternative to searx which provides a modern-looking :sparkles:, lightning-fast :zap:, privacy respecting :disguised_face:, secure :lock: meta search engine
- meta-search-engine
- rust
- search-engine
- fast
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
- database
- drop-in-replacement
- in-memory
- kividb
Fast, safe-by-design, Vim-first TUI for PostgreSQL, MySQL, and SQLite, built in Rust.
In-memory key-value server in Rust that speaks RESP, so redis-cli and Redis clients connect. Locks, rate limits, job queues and a change feed are single commands; Raft-based failover. Clients for Rust, .NET, Go, Java, Python and Node.js.
Split large SQL dump files into individual table files. Fast, memory-efficient, multi-dialect.