Document Search
The more context and details you add, the better your response because the model understands precisely what you expect. Do not miss our Prompt Engineering Guide to learn how to write great prompts.
Document search is one tool the AI models have. You can add documents by either uploading them, through drag and drop, or by selecting a file from an integration (how to set up integrations can be read here). When you attach a document to a chat, document search automatically kicks in.
Document search extracts text from files, such as PDFs, Word documents, or PowerPoint presentations. The document’s text gets sent to the AI model along with your prompt, allowing it to answer questions based on the actual content. See a list of all supported file types here.
Use cases for working with documents:
Summarizing texts
Asking questions about a document
Analyzing the files
Current limitations of document search:
Table data extraction isn’t reliable yet. For tables, try our Data Analyst with CSV/Excel files, Google Sheets integration, or screenshot the table and work with the image instead.
Images, graphs, and non-text symbols in the documents can’t be processed.
Related:
Supported file types: FAQ — Which file types does Langdock support?