Developing Custom Document Loaders
Create bespoke document loaders to ingest data from unique or proprietary sources not directly supported by LangChain.
Why Custom Document Loaders?
LangChain offers many built-in document loaders for common formats like PDFs, web pages, and databases. But what if your data is unique?
Sometimes, you'll encounter:
- Proprietary file formats
- Internal APIs or data sources
- Complex data structures needing custom parsing
This is where custom document loaders shine!
Meet LangChain's BaseLoader
To create your own loader, you'll inherit from LangChain's BaseLoader class. This is an abstract class, meaning it provides a template for what your loader needs to do.
The most important method you'll implement is load(). This method is responsible for fetching your data and transforming it into a list of Document objects.
All lessons in this course
- Developing Custom Document Loaders
- Integrating Custom Embedding Models
- Extending Retrieval Chains with Custom Logic
- Building Custom Output Parsers