Overview
An overview of the GoLC project.
Documentation
All of GoLC documentation
Welcome to the documentation for GoLC, an innovative project for building Go applications with Large Language Models (LLMs) through composability. Inspired by the LangChain project, GoLC provides a framework that enables developers to seamlessly integrate LLM-based applications. By leveraging the concept of composability, GoLC allows for the modular construction of LLM-based components, offering flexibility and extensibility to develop powerful language processing applications in Go.
Please refer to the following sections for detailed usage instructions and examples.
Getting Started
How to get started with GoLC.
LLMs and Prompts
The foundational building blocks of GoLC.
Chains
Create sequences of calls to LLMs or other utilities.
Retrieval Augmented Generation (RAG)
Interacting with data sources.
Memory
Persisting state between chain or agent calls.
Agents
Make intelligent decisions, take actions, observe results, and iterate until completion.
Moderation
Moderation capabilities using different nlp services.
Embeddings
Generate numerical representations of data, enabling advanced similarity comparisons and analysis in machine learning applications.
Evaluation
Evaluating the performance of generative models.
Advanced
Advanced topics related to GoLC.
Last modified July 9, 2023: Add docs (ca95445)