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. | |
Ask questions, discuss, or feel free to propose additional environments.