![]() Haystack ( blogpost) - Use Weaviate as a document store in Haystack.DocArray - Use Weaviate as a document store in DocArray.Cohere ( blogpost) - Use Cohere embeddings with Weaviate.Auto-GPT ( blogpost) – use Weaviate as a memory backend for Auto-GPT.Cohere Multilingual ML Models with WeaviateĮxamples and/or documentation of Weaviate integrations (a-z).How to build an Image Search Application with Weaviate.Giving Auto-GPT Long-Term Memory with Weaviate.The ChatGPT Retrieval Plugin - Weaviate as a Long-term Memory Store for Generative AI.You can find code examples here, and you might these blog posts useful: You can also build question and answer extraction, summarization and classification systems. What can you build with Weaviate?įor starters, you can build vector databases with text, images, or a combination of both. Some of its other superpowers include recommendation, summarization, and integrations with neural search frameworks. Weaviate powers lightning-fast vector searches, but it is capable of much more. To this end, Weaviate is built with scaling, replication, and security in mind, among others. Weaviate is designed to take you from rapid prototyping all the way to production at scale. Modules enable use of popular services and model hubs such as OpenAI, Cohere or HuggingFace and much more, including use of local and custom models. These vectorization options are enabled by Weaviate modules. You can use Weaviate to conveniently vectorize your data at import time, or alternatively you can upload your own vectors. Weaviate typically performs a 10-NN neighbor search out of millions of objects in single-digit milliseconds. ![]() With Weaviate, you can turn your text, images and more into a searchable vector database using state-of-the-art ML models. If you have a bit more time, stick around and check out our summary below □ the contributor guide if you are looking to contribute to the project.the quickstart tutorial if you are looking to use Weaviate, or. ![]() If you just want to get started, great! Try: Weaviate is an open source vector database that is robust, scalable, cloud-native, and fast.
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