A cloud-native vector database, storage for next generation AI applications
-
Updated
Jun 1, 2024 - Go
A cloud-native vector database, storage for next generation AI applications
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.
Distributed vector search for AI-native applications
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
The Kubernetes operator for K8ssandra
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
A simple vector database: Text encoding, semantic search, document storage
VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN
Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.
A minimalistic vector database that can be used to search for similar vectors in logarithmic time.
Experimenting Weaviate vector database with OpenAI vectorizer module and generative search
Terraform Provider for managing resources on Pinecone.io
No fuss multi-index hybrid vector database / search engine
Mind-X is my intelligent alter ego that understands me the best. It assists with and resolves my bothersome tasks, growing in real-time as a next-generation PersonAI system.
Vectoria is an embedded vector database.
Inside the repository, you can find the DevOps task that was given to evaluate my skillset.
HNSW approximate nearest-neighbour search algorithm in Golang
FaceID API aims to create a backend infrastructure to allow user authentication by Face Recognition. The API receives a FRV (Face Representation Vector) from remote client and verifies if the given object match an existing FRV in the database, and so granting or denying access to the client.
Add a description, image, and links to the vector-database topic page so that developers can more easily learn about it.
To associate your repository with the vector-database topic, visit your repo's landing page and select "manage topics."