Software Engineering
Building a RAG-Powered Chatbot with LangChain and Go
Transform your document collections into interactive chatbots with LangChain in Go. Build a complete RAG (Retrieval-Augmented Generation) system by integrating document processing, contextual retrieval, and conversational memory. Develop chatbots that deliver precise information from documents, enabling applications like document analysis and querying.
Go
LangChain
OpenAI
4 lessons
18 practices
2 hours
RAG Systems and Vector Databases
Course details
Building a Document Processor
Implement PDF Document Loader in Go
Initialize DocumentProcessor Vector Store and Retrieve Context in Go
Go Document Processor with OpenAI Integration
Process Multiple Documents in Go
Reset the Document Processor Vector Store

Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal





