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Document Search Addon: A Closer Look
One of the most commonly used addons in AI systems is the Document Search Addon. This addon allows users to efficiently search through extensive collections of documents, files, and other textual data. Whether it’s a small internal knowledge base or a vast repository of customer data, this addon makes it easy for users to find the specific information they need.
Features of the Document Search Addon
- Fast Indexing: It can index large volumes of documents in real-time, allowing for quick search and retrieval.
- Query Optimization: The addon can interpret user queries, providing relevant results even when the exact search terms aren’t used.
- Integration with File Systems: Document Search Addons often integrate with external file systems (e.g., Google Drive, SharePoint), allowing users to search files stored across different platforms.
- Search Suggestions: As the user types, the addon can offer real-time search suggestions to improve accuracy and efficiency.
- Faceted Search: Users can filter search results by categories such as date, file type, or relevance.
By utilizing a Document Search Addon, organizations can enhance their AI systems with a robust and efficient tool for managing and accessing information. This is especially useful in industries where documentation and compliance are critical, such as healthcare, law, and finance.
Adding Documents to the Document Search Addon
To add documents to the Document Search Addon, follow these steps:
- Upload Files: Begin by uploading the files you wish to add. You can upload multiple files at once, allowing efficient batch processing.
Add documents to Document Search Addon
- Customize File Metadata: After uploading, Click on the uplodaed document where you have the option to customize each file by:
- Changing the Label: Assign a label to help identify the file more easily.
- Adding a Description: Provide a brief description of the document to summarize its content.
- Specifying a URL: If applicable, include a relevant URL for further reference or access to related online resources.
- Save the Files: Once you've uploaded and customized the files, click the "Save" button to finalize the process.
Customizing File Metadata
Document Chunks
As mentioned, each uploaded document is split into chunks for easy management. Every chunk is composed of the following fields:
- Label: A brief identifier or name for the chunk.
- Content: The actual content or body of the chunk.
- Description: A short description summarizing the chunk's content.
- URL: A reference URL, if applicable.
Chunk Management
- Update: Users can modify the label, description and URL of each chunk.
- Delete: Users can delete chunks as needed.
- Replace: Users can replace the file for the selected chunk, which will update the content accordingly.
Semantic Search
The addon features a 'Test' button, which initiates a semantic search. This advanced search system allows users to search for information across the entire document store. The search is not limited to a single document, meaning that it can scan and return results from any and all documents stored in chunks.
Test button
How Semantic Search Works:
- Comprehensive Scanning: When the search is initiated, the system goes over every chunk in the document store to find the most relevant results based on the search query.
- Deep Understanding: The semantic search analyzes the meaning behind the search query, providing more accurate and relevant results compared to a standard keyword search.
Semantic search
Search Results
After the search is completed, the user is presented with the most relevant results or the document most likely to contain the answer. This likelihood is measured by a score, which is a percentage indicating the probability that the chatbot will return the result with the desired information. Document can be viewed in full detail by clicking the 'View Full Document' button.