A lightweight, lightning-fast, in-process vector database
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1–8 of 8 · Most stars
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 simple, fast and versatile Datalog database
- key-value-store
- embedded-database
- fulltext-search
- vector-database
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
- embeddings
- go
- golang
- llm
Embeddable, in-memory, document-oriented database with a high-level Query builder interface.
- database
- embedable
- go
- in-memory
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
C# .NET NOSQL ( key value, object store embedded TextSearch SemanticSearch Vector layer ) ACID multi-paradigm database management system.
A high performance, shared memory, lock free, cross platform, single file, no dependencies, C++11 key-value store