![]() Use your own ML mode or out-of-the-box ML models, locally or with an inference service.Cloud-native, distributed, runs well on Kubernetes and scales with your workloads.ĭata Engineers - Who use Weaviate as fast, flexible vector database.With full CRUD support like you're used to from other OSS databases.Out-of-the-box modules for: AI-powered searches, Q&A, integrating LLMs with your data, and automatic classification.Software Engineers - Who use Weaviate as an ML-first database for your applications. Subscribe to our □️ newsletter to keep up to date including new releases, meetup news and of course all of the content. How GPT4.0 and other Large Language Models Work.The Tile Encoder - Exploring ANN algorithms Part 2.2.HNSW+PQ - Exploring ANN algorithms Part 2.1.Some of our past favorites include: □ Blogs ![]() To this end, our team does an amazing job with our blog and podcast. We love helping amazing people build cool things with Weaviate, and we love getting to know them as well as talking to them about their passions. Speaking of content - we love connecting with our community through these. OpenAI - use OpenAI embeddings with Weaviate.OpenAI - ChatGPT retrieval plugin - Use Weaviate as a memory backend for ChatGPT.LlamaIndex ( blogpost)- Use Weaviate as a memory backend for LlamaIndex.LangChain ( blogpost) - Use Weaviate as a memory backend for LangChain.Hugging Face - Use Hugging Face models with Weaviate.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. ![]()
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