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.

Environment	Description	Quickstart
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.