77 lines
2.0 KiB
Python
77 lines
2.0 KiB
Python
import logging
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from dataclasses import dataclass
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from typing import Optional
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import requests
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from open_webui.env import SRC_LOG_LEVELS
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from open_webui.retrieval.web.main import SearchResult
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["RAG"])
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EXA_API_BASE = "https://api.exa.ai"
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@dataclass
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class ExaResult:
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url: str
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title: str
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text: str
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def search_exa(
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api_key: str,
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query: str,
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count: int,
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filter_list: Optional[list[str]] = None,
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) -> list[SearchResult]:
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"""Search using Exa Search API and return the results as a list of SearchResult objects.
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Args:
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api_key (str): A Exa Search API key
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query (str): The query to search for
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count (int): Number of results to return
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filter_list (Optional[list[str]]): List of domains to filter results by
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"""
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log.info(f"Searching with Exa for query: {query}")
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headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
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payload = {
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"query": query,
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"numResults": count or 5,
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"includeDomains": filter_list,
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"contents": {"text": True, "highlights": True},
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"type": "auto", # Use the auto search type (keyword or neural)
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}
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try:
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response = requests.post(
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f"{EXA_API_BASE}/search", headers=headers, json=payload
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)
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response.raise_for_status()
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data = response.json()
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results = []
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for result in data["results"]:
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results.append(
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ExaResult(
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url=result["url"],
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title=result["title"],
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text=result["text"],
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)
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)
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log.info(f"Found {len(results)} results")
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return [
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SearchResult(
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link=result.url,
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title=result.title,
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snippet=result.text,
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)
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for result in results
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]
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except Exception as e:
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log.error(f"Error searching Exa: {e}")
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return []
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