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Docker and Neo4j jumpstart GenAI
Out-of-the-box ready-to-code secure stack jumpstarts GenAI apps for developers in minutes after Docker (www.docker.com), Neo4j (www.neo4j.com), LangChain (www.langchain.com) and Ollama (www.ollama.ai) announces a new GenAI Stack solution at DockerCon.
Eliminating the need to search for and cobble together and configure technologies from different sources, the GenAI Stack is pre-configured, ready-to-code, and secure with large language models (LLMs) from Ollama, vector and graph databases from Neo4j, and the LangChain framework. Docker also announced today its first AI-powered product, Docker AI.
“Developers are excited by the possibilities of GenAI, but the rate of change, number of vendors, and wide variation in technology stacks makes it challenging to know where and how to start,” explains Scott Johnston, CEO, Docker. “Today’s announcement eliminates this dilemma by enabling developers to get started quickly and safely using the Docker tools, content, and services they already know and love together with partner technologies on the cutting edge of GenAI app development.”
“The driving force uniting our collective efforts was the shared mission to empower developers, making it very easy for them to build GenAI-backed applications and add GenAI features to existing applications,” adds Emil Eifrem, Co-Founder and CEO, Neo4j. “We’re immensely excited about the possibilities this unlocks for millions of developers.”
Easy out-of-the-box setup empowers developers with numerous capabilities, such as effortless data loading and vector index population, enabling developers to seamlessly import data, create vector indices, embed questions and answers, and store them within the vector index. Developers can do enhanced querying and result enrichment for applications that can both summarize data and showcase knowledge retrieval through flexible knowledge graphs. They can also generate diverse responses across various formats, such as bulleted lists, chain of thought, GitHub issues, PDFs, poems, and more. In addition, developers can compare results achieved between LLMs on their own, LLMs with vector, and LLMs with vector and knowledge graph integration.
The GenAI Stack, available today in the Learning Centre in Docker Desktop and in the repository at https://github.com/docker/genai-stack, addresses popular GenAI use cases using trusted open source content on Docker Hub. The GenAI Stack is among a range of new AI/ML capabilities, content, and partnerships announced by Docker with the aim of helping developers quickly and securely take advantage of the power of AI/ML in their applications
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