add embedding api
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@@ -24,7 +24,7 @@ def get_mail_path():
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# Default mail path for macOS
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# DEFAULT_MAIL_PATH = "/Users/yichuan/Library/Mail/V10/0FCA0879-FD8C-4B7E-83BF-FDDA930791C5/[Gmail].mbox/All Mail.mbox/78BA5BE1-8819-4F9A-9613-EB63772F1DD0/Data"
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def create_leann_index_from_multiple_sources(messages_dirs: List[Path], index_path: str = "mail_index.leann", max_count: int = -1, include_html: bool = False):
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def create_leann_index_from_multiple_sources(messages_dirs: List[Path], index_path: str = "mail_index.leann", max_count: int = -1, include_html: bool = False, embedding_model: str = "facebook/contriever"):
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"""
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Create LEANN index from multiple mail data sources.
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@@ -101,7 +101,7 @@ def create_leann_index_from_multiple_sources(messages_dirs: List[Path], index_pa
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# Use HNSW backend for better macOS compatibility
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builder = LeannBuilder(
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backend_name="hnsw",
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embedding_model="facebook/contriever",
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embedding_model=embedding_model,
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graph_degree=32,
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complexity=64,
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is_compact=True,
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@@ -120,7 +120,7 @@ def create_leann_index_from_multiple_sources(messages_dirs: List[Path], index_pa
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return index_path
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def create_leann_index(mail_path: str, index_path: str = "mail_index.leann", max_count: int = 1000, include_html: bool = False):
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def create_leann_index(mail_path: str, index_path: str = "mail_index.leann", max_count: int = 1000, include_html: bool = False, embedding_model: str = "facebook/contriever"):
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"""
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Create LEANN index from mail data.
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@@ -180,7 +180,7 @@ def create_leann_index(mail_path: str, index_path: str = "mail_index.leann", max
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# Use HNSW backend for better macOS compatibility
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builder = LeannBuilder(
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backend_name="hnsw",
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embedding_model="facebook/contriever",
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embedding_model=embedding_model,
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graph_degree=32,
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complexity=64,
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is_compact=True,
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@@ -239,6 +239,8 @@ async def main():
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help='Single query to run (default: runs example queries)')
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parser.add_argument('--include-html', action='store_true', default=False,
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help='Include HTML content in email processing (default: False)')
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parser.add_argument('--embedding-model', type=str, default="facebook/contriever",
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help='Embedding model to use (default: facebook/contriever)')
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args = parser.parse_args()
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@@ -263,7 +265,7 @@ async def main():
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print(f"Found {len(messages_dirs)} Messages directories.")
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# Create or load the LEANN index from all sources
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index_path = create_leann_index_from_multiple_sources(messages_dirs, INDEX_PATH, args.max_emails, args.include_html)
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index_path = create_leann_index_from_multiple_sources(messages_dirs, INDEX_PATH, args.max_emails, args.include_html, args.embedding_model)
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if index_path:
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if args.query:
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