A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- search-engine
- typo-tolerance
- site-search
- database
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A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
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
A vector index built on TurboQuant, written in Rust with Python bindings
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
A lightweight, lightning-fast, in-process vector database
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
One proximity graph for vector search, sparse products & attention across RAM, VRAM & NVMe, over dense vectors, sequences, shapes & geospatial sets in 14 languages 🔍
C# .NET NOSQL ( key value, object store embedded TextSearch SemanticSearch Vector layer ) ACID multi-paradigm database management system.
Official library for RaBitQ vector quantization and approximate nearest-neighbor search, in C++ and Python.
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.