🔧 chore(config): update embedding model and add Hugging Face API token configuration (f5367430) · Commits · Jan Reimes / 3gpp-crawler

.env.example

+7 −3

Original line number	Diff line number	Diff line
		@@ -91,9 +91,10 @@ TDC_AI_LLM_MODEL=openrouter/openrouter/free
		# Optional custom base URL for LLM provider/proxy
		TDC_AI_LLM_API_BASE=

		# Embedding model in format <provider>/<model_name>
		# Recommended: ollama/embeddinggemma (local, no API key required)
		TDC_AI_EMBEDDING_MODEL=ollama/embeddinggemma
		# Embedding model (HuggingFace sentence-transformers model ID)
		# Default: sentence-transformers/all-MiniLM-L6-v2 (384 dimensions, popular and fast)
		# See https://huggingface.co/models?library=sentence-transformers for alternatives
		TDC_AI_EMBEDDING_MODEL=perplexity-ai/pplx-embed-context-v1-0.6b

		# Chunking
		TDC_AI_MAX_CHUNK_SIZE=1000
		@@ -108,3 +109,6 @@ TDC_AI_PARALLELISM=4

		# Note: Never commit actual .env file to version control!
		# Copy this file to .env and replace placeholders with your actual credentials and preferences.

		# Hugging Face API Token - recommended for authentication with the Hugging Face Hub and to avoid rate limits when downloading models and datasets. Sign up for a free account at https://huggingface.co/ and create an API token in your account settings.
		HF_TOKEN=your_huggingface_api_token_here
		No newline at end of file