Vector Databases

The Vector Databases environments are tailored for specific vector database tools and clients, including vectordb, pinecone, milvus, weaviate, raft, faiss, chroma, and qdrant. Each environment is equipped with the necessary libraries and tools for efficient interaction with the respective vector databases. They facilitate tasks such as vector search, analytics, and clustering of dense vectors.

EnvironmentDescriptionQuickstart

vectordb

Environment equipped with vectorDB tools and clients like torch, transformers, pinecone, weaviate, milvus, chroma, qdrant, and fiass.

pinecone

Environment for Pinecone's powerful vector space, including PyTorch, Haystack, Transformers, Cohere, and the OpenAI Python library.

milvus

Environment set up for Milvus, an open-source vector database that handles massive-scale vector data and provides fast vector search and analytics capabilities.

weaviate

Environment designed for Weaviate, a cloud-native, modular, real-time vector search engine.

raft

Environment for RAFT, a reusable accelerated functions and tools for vector search created by NVIDIA's RAPIDS AI; can be used with faiss.

faiss

Environment for Faiss, a library for efficient similarity search and clustering of dense vectors.

chroma

Environment equipped with Chroma, an open-source embedding database.

qdrant

Environment designed for Qdrant, an open-source vector similarity search engine with extended filtering capabilities.