Integrations

Zilliz Cloud offers you some examples of integrations with third-party systems.

Similarity Search with Zilliz Cloud and OpenAI

This guide discusses vector database integration with OpenAI's embedding API.

Question Answering Using Zilliz Cloud and Hugging Face

This page illustrates how to build a question-answering system using Zilliz Cloud as the vector database and Hugging Face as the embedding system.

Question Answering Using Zilliz Cloud and Cohere

This page illustrates how to create a question-answering system based on the SQuAD dataset using Zilliz Cloud as the vector database and Cohere as the embedding system.

Image Search with Zilliz Cloud

On this page, we are going to be going over a simple image search example using Zilliz Cloud. For this example, we are just using a 1 CU instance and using the Torchvision pre-trained Resnet50 model for embeddings.

Movie Search Using Zilliz Cloud and SentenceTransformers

In this example, we are going to be going over a Wikipedia article search using Zilliz Cloud and the SentenceTransformers library.

Documentation QA using LlamaIndex and Zilliz Cloud

On this page, LlamaIndex and Zilliz Cloud are worth together to ingest and retrieve relevant info. LlamaIndex begins by taking in all the different documents you may have and embedding them using OpenAI. Once we have the embeddings we can push them into Zilliz Cloud along with any relevant text and metadata. When a user wants to ask a question, LlamaIndex will search through Zilliz Cloud for the closest answers and use ChatGPT to summarize those answers.

Question Answering over Documents with Zilliz Cloud and LangChain

This guide demonstrates how to build an LLM-driven question-answering application with Zilliz Cloud and LangChain.

On this page