For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
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A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- search-engine
- typo-tolerance
- site-search
- database
A library for efficient similarity search and clustering of dense vectors.
Search infrastructure for AI
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
- search-engine
- search
- typo-tolerance
- site-search
A lightweight, lightning-fast, in-process vector database
- rag
- agent-skills
- embedded
- faiss
Apache Doris is a real-time analytics and hybrid search database for AI agents.
- olap
- database
- hudi
- iceberg
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
- rust
- database
- serverless
- bigdata
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
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
Apache Pinot: a real-time analytics database for low-latency SQL and vector search, serving user-facing and agent-facing applications
Go Open Source, Distributed, Simple and fastest efficient text/vector Search Engine
- go
- golang
- search-engine
- search
AliSQL is a MySQL branch originated from Alibaba Group. Fetch document from Release Notes at bottom.
RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.
- ai
- ai-ocr
- gnn
- graph
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
- graph-algorithms
- graph-database
- graph-analysis
- kafka
One proximity graph for vector search, sparse products & attention across RAM, VRAM & NVMe, over dense vectors, sequences, shapes & geospatial sets in 14 languages 🔍
- kann
- vector-search
- approximate-nearest-neighbor-search
- simd
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
- database
- graph
- client-server
- cross-platform
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
- knn-search
- non-metric
- neighborhood-graphs
- k-nn-graphs
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
- mysql
- embedded-database
- ai-agents
- copy-on-write
Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed.
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
- search-engine
- rust
- approximate-nearest-neighbor-search
- artificial-intelligence
Distributed vector search for AI-native applications
- vectors
- vector-search
- cloud-native
- document-retrieval