Developers can do enhanced querying and result enrichment for applications that can both summarize data and showcase knowledge retrieval through flexible knowledge graphs. A series of supporting tools, code templates, how-to’s, and GenAI best practices.Įasy 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.LangChain orchestration between the LLM, application, and database with vector index, and serving as the framework for developing context-aware reasoning applications powered by LLMs and.Neo4j knowledge graphs that serve as the knowledge base to ground LLMs for more accurate GenAI predictions and outcomes.Neo4j as the default database for graph and native vector search that uncovers explicit and implicit patterns and relationships in data, making AI/ML models faster and more accurate, and acting as long-term memory for these models.Help from Ollama for developers to get up and running locally with open source LLMs.Pre-configured open source LLMs such as Llama 2, Code Llama, Mistral, or private models such as OpenAI’s GPT-3.5 and GPT-4.Demoed on stage at DockerCon,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. The GenAI Stack, available today in the Learning Center in Docker Desktop and in the repository at, addresses popular GenAI use cases using trusted open source content on Docker Hub. “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.” “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,” said Docker CEO Scott Johnston. Docker also announced today its first AI-powered product, Docker AI. 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. 05, 2023 (GLOBE NEWSWIRE) - DOCKERCON – Today, in the Day-2 keynote of its annual global developer conference, DockerCon, Docker, Inc.® together with partners Neo4j, LangChain, and Ollama announced a new GenAI Stack designed to help developers get a running start with generative AI applications in minutes. Replaced by: SHOW INDEXES YIELD * and SHOW CONSTRAINTS YIELD *.LOS ANGELES, Oct. Replaced by: CREATE CONSTRAINT … IS UNIQUE.ĭb.() Replaced by: CREATE CONSTRAINT … IS NODE KEY. In 4.2, signature changed to db.listLocks() :: (mode :: STRING?, resourceType :: STRING?, resourceId :: INTEGER?, transactionId :: STRING?).ĭ() In 4.1, signature changed to db.(indexName :: STRING?, queryString :: STRING?, options = :: MAP?) :: (relationship :: RELATIONSHIP?, score :: FLOAT?).
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