Unlock the power of document intelligence with LangChain in Java. This course will teach you how to efficiently process and retrieve information from documents. Learn to load, split, and embed documents, and master the art of similarity search to extract relevant insights. Build a robust foundation for document-driven applications with cutting-edge techniques.
Overview
Syllabus
- Unit 1: Introduction to Document Processing with Java
- Loading and Inspecting PDF Documents
- Switching to Text File Loading
- Experiment with Document Splitting Parameters
- Exploring Different Text Splitters
- Loading and Splitting PDF Documents
- Unit 2: Generating Document Embeddings with OpenAI
- Creating Document Embeddings with OpenAI
- Experiment with Embedding Parameters
- Fix the Embedding Model Bug
- Exploring Embedding Dimensions
- Unit 3: Retrieving Relevant Information with Similarity Search in Java
- Exploring Vector Store Details
- Formulate a Query for the Similarity Search
- Adjusting Document Retrieval Quantity
- Vector Similarity Search
- Unit 4: Asking Questions with Retrieved Context and Templates
- Creating a Chat Prompt Template
- Combining Document Chunks for Context
- Creating Structured Prompts with String Templates
- Chat Model Integration with Context Retrieval
- Guiding Model Responses with System Message