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Fix running Ollama in docker #484

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Merged
sng-asyncfunc merged 1 commit into from
Mar 5, 2026
Merged

Fix running Ollama in docker #484

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14 changes: 10 additions & 4 deletions Ollama-instruction.md
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Original file line number Diff line number Diff line change
Expand Up @@ -80,8 +80,14 @@ npm run dev

## Alternative using Dockerfile

1. Build the docker image `docker build -f Dockerfile-ollama-local -t deepwiki:ollama-local .`
2. Run the container:
1. Configure the Local Embedder for Ollama:
```
cp api/config/embedder.ollama.json.bak api/config/embedder.json
# overwrite api/config/embedder.json? (y/n [n]) y
Comment on lines +85 to +86
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@gemini-code-assist gemini-code-assist bot Mar 5, 2026

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medium

The comment simulating an interactive prompt can be confusing for users. Using cp -f makes the command non-interactive and the instruction clearer, which is better for instructions that might be copy-pasted.

Suggested change
cp api/config/embedder.ollama.json.bak api/config/embedder.json
# overwrite api/config/embedder.json? (y/n [n]) y
cp -f api/config/embedder.ollama.json.bak api/config/embedder.json

```

2. Build the docker image `docker build -f Dockerfile-ollama-local -t deepwiki:ollama-local .`
3. Run the container:
```bash
# For regular use
docker run -p 3000:3000 -p 8001:8001 --name deepwiki \
Expand All @@ -97,9 +103,9 @@ npm run dev
deepwiki:ollama-local
```

3. When using local repositories in the interface: use `/app/local-repos/repo-name` as the local repository path.
4. When using local repositories in the interface: use `/app/local-repos/repo-name` as the local repository path.

4. Open http://localhost:3000 in your browser
5. Open http://localhost:3000 in your browser

Note: For Apple Silicon Macs, the Dockerfile automatically uses ARM64 binaries for better performance.

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6 changes: 6 additions & 0 deletions api/config/embedder.ollama.json.bak
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@@ -1,4 +1,10 @@
{
"embedder_ollama": {
"client_class": "OllamaClient",
"model_kwargs": {
"model": "nomic-embed-text"
}
},
Comment on lines +2 to +7
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@gemini-code-assist gemini-code-assist bot Mar 5, 2026

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medium

This new embedder_ollama configuration is identical to the existing embedder configuration in this file. This duplication can lead to maintenance issues, as changes to the Ollama embedder configuration would need to be made in two places. To improve maintainability, it would be ideal to avoid this duplication.

"embedder": {
"client_class": "OllamaClient",
"model_kwargs": {
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