A reusable Django package for building RAG applications with LLMs, embeddings, and pgvector.
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Official pre-built Docker image for Django RAGKit — Production-ready Retrieval-Augmented Generation (RAG) and conversational AI toolkit for Django with PostgreSQL & pgvector.
This image includes Python, Django, pgvector, and all core dependencies pre-installed, allowing you to run conversational AI and vector search instantly with zero local compilation.
Quick Pull: docker pull shincuff/django-ragkit:latest
Full Documentation & Setup Guide: For complete Docker Compose configurations, environment variables reference, and local Ollama setup, visit the official documentation: https://shahyadkashkouli.github.io/django-ragkit/getting-started/docker-image/
Links:
Documentation: https://shahyadkashkouli.github.io/django-ragkit/ GitHub Repository: https://github.com/shahyadKashkouli/django-ragkit PyPI Package: https://pypi.org/project/django-ragkit/
Content type
Image
Digest
sha256:988fbcf5c…
Size
56.1 MB
Last updated
about 1 month ago
docker pull shincuff/django-ragkit