# docker/genai-stack

Langchain + Docker + Neo4j + Ollama

Repository: https://github.com/docker/genai-stack
Canonical: https://ross.abutalabs.com/products/genai-stack
Language: Python
License: CC0-1.0
License Family: permissive
Last push: 2026-08-10T19:20:47+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 35, longevity 77
- inputs: {"age_days": 1085, "days_push": 23, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5397, forks 1234 (observed 2026-08-28T04:09:17.339565+00:00)

## What it is
A Docker Compose-based starter stack for building GenAI applications, combining LangChain, Ollama for local LLM inference, and Neo4j as a database. It ships demo applications that serve as templates or inspiration for developers building their own LLM-powered apps.

## Use cases
- build a local RAG chatbot with Ollama and Neo4j
- get started quickly with a GenAI app scaffold
- run LLM applications fully locally with Docker
- experiment with LangChain and graph databases
- prototype AI assistants without cloud API keys
- set up a demo stack for LLM + vector search

## When to choose
- you want a batteries-included local GenAI dev environment
- you prefer Ollama for local LLM inference
- you want Neo4j integrated out of the box
- you need ready-made demo apps to customize

## When to avoid
- you need a production-grade, hardened deployment
- you want a managed cloud LLM platform
- you don't use Docker or Neo4j
- you need fine-grained control over each component's setup

## Facets
- artifact type: application
- maturity: active
- function: rag, llm-inference, agent-framework, vector-database, chatbot
- domain: large-language-models, artificial-intelligence, developer-tools, self-hosted
- platform: self-hosted, cross-platform, python
- tags: langchain, ollama, neo4j, genai, docker-compose, starter-kit, local-llm, retrieval-augmented-generation, docker

## Member repositories
- docker/genai-stack (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:17.339565+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:58:22.255672+00:00, confidence not recorded.
  - readme: https://github.com/docker/genai-stack (fetched 2026-08-28T04:09:17.339565+00:00, sha fbf705e740e7)
- Data as of 2026-08-30T08:39:29.467469+00:00.