2025-07-02 01:29:31,310 - INFO - api.websocket_wiki - websocket_wiki.py:69 - Request size: 7782 tokens
2025-07-02 01:29:31,311 - WARNING - api.ollama_patch - ollama_patch.py:56 - Could not connect to Ollama to check models: No connection adapters were found for '0.0.0.0:11434/api/tags'
2025-07-02 01:29:31,311 - ERROR - api.websocket_wiki - websocket_wiki.py:111 - Error preparing retriever: Ollama model 'nomic-embed-text' not found. Please run 'ollama pull nomic-embed-text' to install it.
在点击生成后会出现以上报错
这个是我的.env 文件
# No need for API keys when using Ollama locally
PORT=8001
# Optionally, provide OLLAMA_HOST if Ollama is not local
OLLAMA_HOST=http://localhost:11434 # (default: http://localhost:11434)
还有我的embedder.json & ollama
{
"embedder": {
"client_class": "OllamaClient",
"model_kwargs": {
"model": "nomic-embed-text"
}
},
"retriever": {
"top_k": 20
},
"text_splitter": {
"split_by": "word",
"chunk_size": 350,
"chunk_overlap": 100
}
}
$ ollama list
NAME ID SIZE MODIFIED
nomic-embed-text:latest 0a109f422b47 274 MB 29 minutes ago
qwen3:1.7b 8f68893c685c 1.4 GB 3 hours ago
qwen3:8b 500a1f067a9f 5.2 GB 6 hours ago
dengcao/Qwen3-Embedding-8B:Q4_K_M d3ca2355027f 4.7 GB 14 hours ago
qwen3:32b 030ee887880f 20 GB 15 hours ago
qwen3:latest e4b5fd7f8af0 5.2 GB 6 weeks ago
在点击生成后会出现以上报错
这个是我的
.env文件还有我的
embedder.json&ollama{ "embedder": { "client_class": "OllamaClient", "model_kwargs": { "model": "nomic-embed-text" } }, "retriever": { "top_k": 20 }, "text_splitter": { "split_by": "word", "chunk_size": 350, "chunk_overlap": 100 } }