NVIDIA / NVIDIA/GenerativeAIExamples
Dependency Version Conflict - Docker Basic RAG Pipeline
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Description
failed to solve: process "/bin/sh -c python3.10 -c "from sentence_transformers import SentenceTransformer; model = SentenceTransformer('Snowflake/snowflake-arctic-embed-l'); model.save('/tmp-data')"" did not complete successfully: exit code: 1
Ubuntu 24.04
Tried to fix the issue, but:
I am just getting an Internal Server Error
docker ps --format "table {{.ID}}\t{{.Names}}\t{{.Status}}"
CONTAINER ID NAMES STATUS
a1beb4f8317f milvus-standalone Up About a minute
b7f5f862c7bd rag-playground Up About a minute
01ae46a9498a milvus-minio Up About a minute (healthy)
dd6e751355b5 chain-server Up About a minute
3f309a0e3b43 milvus-etcd Up About a minute (healthy)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the Docker build failure for the Basic RAG Pipeline using the shown Python command and the Snowflake embedding model. Inspect the pipeline's dependency configuration and Docker setup to identify the version conflict; done means the image builds successfully and the model is saved without the internal server error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python
- Domain
- ai, devops
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100