Getting Started with GenAI Stack powered with Docker, LangChain, Neo4j and Ollama

This page summarizes the projects mentioned and recommended in the original post on dev.to
NoSQL Cypher Graphdb Database Graph

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub helps you find the best software and product alternatives
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  • genai-stack

    Langchain + Docker + Neo4j + Ollama

    • The GenAI Stack is a one-stop shop for getting started with GenAI app development. It is basically a set of Docker containers that are orchestrated by Docker Compose. It provides all the tools and resources you need to build and run GenAI apps, without having to worry about setting up and configuring everything yourself. It makes it easy to build and run AI apps that can generate text, code, and other creative content.

  • ollama

    Get up and running with Llama 3, Mistral, Gemma, and other large language models.

    • The GenAI Stack came about through a collaboration between Docker, Neo4j, LangChain, and Ollama. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo

  • Neo4j

    Graphs for Everyone

    • The GenAI Stack came about through a collaboration between Docker, Neo4j, LangChain, and Ollama. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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