Automated Patent Abstract Summarizer: Unlock Innovation Faster
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Streamline your patent research with this automated summarizer. Leveraging AI, it quickly distills complex patent abstracts into concise summaries, saving you valuable research time and accelerating your innovation discovery process.
About This Workflow
The Patent Abstract Summarizer is a powerful automation workflow designed to significantly reduce the time and effort required for patent analysis. By integrating with AI models and vector databases, this solution automatically processes incoming patent abstracts, breaks them down into manageable chunks, generates embeddings for semantic understanding, and stores them in a searchable vector store. When a query is received, it leverages a sophisticated agent that can query the stored patent data and provide concise, AI-generated summaries. This workflow is ideal for R&D teams, IP lawyers, and innovation scouts who need to quickly grasp the essence of numerous patents without reading each one in full.
Key Features
- Automated Abstract Processing: Ingest patent abstracts via a webhook for seamless integration.
- AI-Powered Summarization: Utilizes advanced language models to generate concise and accurate summaries.
- Intelligent Search & Retrieval: Employs vector databases for efficient querying and retrieval of relevant patent information.
- Contextual Memory: Maintains conversational context for more refined and targeted summaries.
- Log & Track: Records workflow executions for auditing and performance monitoring.
How To Use
- Configure Webhook: Set up the
Webhooknode to receive patent abstracts via a POST request to thepatent_abstract_summarizerpath. - Define Text Splitting: Adjust the
Splitternode'schunkSizeandchunkOverlapparameters to best suit the length and complexity of your patent abstracts. - Set Up AI Credentials: Provide your OpenAI API key to the
EmbeddingsandChatnodes for AI processing. - Configure Vector Database: Set up your Supabase credentials and specify the
indexName(e.g.,patent_abstract_summarizer) in both theInsertandQuerynodes for storing and retrieving patent embeddings. - Integrate Tools & Memory: Connect the
Querynode to theToolnode and theMemorynode to yourAgentnode to enable intelligent querying and conversational context. - Define Agent Logic: Configure the
Agentnode's prompt to guide the AI in summarizing and interacting with patent data. - Set Up Logging: Provide your Google Sheets API credentials and specify the
SHEET_IDandLogsheet name in theSheetnode to log workflow executions.
Apps Used
Workflow JSON
{
"id": "68afb5ad-385a-496d-a439-00cbe9fd9e53",
"name": "Automated Patent Abstract Summarizer: Unlock Innovation Faster",
"nodes": 9,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 68afb5ad-385a...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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