Watch to explore how Weaviate and Docker can make LLMs, vector search, and Generative AI more accessible. You’re just one “docker compose up” away from turning your regular app into an AI-powered app!
Find out how the combined potential of Weaviate and Docker can seamlessly infuse AI capabilities into your stack - without needing to spend countless hours learning a new stack. At the heart of this transformation lies Weaviate, an efficient vector database that is a foundational block for developers seeking to interact with Language Models (LLMs) effortlessly. Combining Weaviate and Docker allows you access to a self-hostable solution that aligns seamlessly with the Docker ecosystem.
LLMs are complex; training them is an art form. Just sending the right prompts can make or break your use case. Let’s forget all of that. Instead, let’s run a docker-compose file to start Weaviate and use it like you would use any other database. With one key difference: Weaviate integrates with the LLMs on your behalf and kickstarts your journey into the AI age. All you need is a language of your choice and a Docker (Compose) installation. Currently, Weaviate supports Python, Javascript, Go, and Java. This is enough to build a feature-rich AI-
powered application. You can use embedding-based retrieval to identify the correct information from your own data.
Are you familiar with the hallucination problem of LLMs? Let’s overcome hallucination through Retrieval Augmented Generation - using factual information from the database to support your generative AI queries.
Presentation: Bring your app into the AI-age with Weaviate and Docker
Speaker: Etienne Dilocker, CTO, Weaviate
Resources:
How to Get Started with the Weaviate Vector Database on Docker - www.docker.com...
Highlights from DockerCon 2023: New Docker Local, Cloud, and AI/ML Innovations - www.docker.com...
Get started with Docker - www.docker.com...
What are containers? www.docker.com...
Try Docker Desktop www.docker.com...
Docker 101 Tutorial www.docker.com...
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