Webinar
From Documents to Dialogue: Unlocking PDF Data with a Smart Chatbot
What you will learn
- Data Preparation: Discover how to extract text from PDF documents, generate textual descriptions of images and store these in CrateDB for vector and full-text searching.
- Data Retrieval and Augmentation: Learn how natural language search queries are converted to vector embeddings and used in semantic and hybrid searches. You’ll also see how to augment a Large Language Model (LLM) prompt with data from the database.
- Response Generation: In the final step of the pipeline, we’ll introduce techniques for generating coherent and fluent responses to users
Resources
- Source code: You can find the code for a complete Python project that you can try out with a free CrateDB cloud database and your own PDF files on GitHub at https://github.com/crate/devrel-pdf-rag-chatbot.
About CrateDB
CrateDB is a distributed SQL database designed for real-time analytics and hybrid search. With a flexible architecture that supports IoT applications, and large-scale machine data, CrateDB serves enterprises globally across a range of industries.Related blog posts
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