GoLC is an open-source Go library that simplifies building LLM-driven pipelines and conversational agents. It offers modular chains, prompt templating, document loaders, vector store integration, retrieval-augmented generation, memory modules, and custom tool-based agent workflows. Developers can seamlessly configure LLM providers, incorporate embedding-based search, and manage conversation state across sessions. GoLC empowers backend engineers to rapidly prototype AI assistants, knowledge bots, and automation agents within a Go-native environment.
Large Language Models (LLMs)
Open Source AI Models
Log Management
AI Log Management
#AI Development
#language model chaining
#Go programming
#Chatbot Framework
#plugin architecture
#document loaders
#stateful memory
#RAG workflows
#custom prompt templates
#multi-step reasoning
#backend AI services
#LLM Integration
#troop management
#embedding retrieval
#performance optimization
#AI prototyping
#modular design
#flexible architecture
#tool integration
#knowledge assistants
...
Promote this Tool
Update this Tool
GoLC
GoLC is an open-source Go library that simplifies building LLM-driven pipelines and conversational agents. It offers modular chains, prompt templating, document loaders, vector store integration, retrieval-augmented generation, memory modules, and custom tool-based agent workflows. Developers can seamlessly configure LLM providers, incorporate embedding-based search, and manage conversation state across sessions. GoLC empowers backend engineers to rapidly prototype AI assistants, knowledge bots, and automation agents within a Go-native environment.
Large Language Models (LLMs)
Open Source AI Models
Log Management
AI Log Management
#AI Development
#language model chaining
#Go programming
#Chatbot Framework
#plugin architecture
#document loaders
#stateful memory
#RAG workflows
#custom prompt templates
#multi-step reasoning
#backend AI services
#LLM Integration
#troop management
#embedding retrieval
#performance optimization
#AI prototyping
#modular design
#flexible architecture
#tool integration
#knowledge assistants
...
Featured
What is GoLC?
GoLC provides developers with a comprehensive toolkit for constructing language model chains and agents in Go. At its core, it includes chain management, customizable prompt templates, and seamless integration with major LLM providers. Through document loaders and vector stores, GoLC enables embedding-based retrieval, powering RAG workflows. The framework supports stateful memory modules for conversational contexts and a lightweight agent architecture to orchestrate multi-step reasoning and tool invocations. Its modular design allows plugging in custom tools, data sources, and output handlers. With Go-native performance and minimal dependencies, GoLC streamlines AI pipeline development, making it ideal for building chatbots, knowledge assistants, automated reasoning agents, and production-grade backend AI services in Go.
Who will use GoLC?
- Go developers building AI applications
- ML engineers seeking Go-native LLM tooling
- Backend engineers integrating AI services
- Startups prototyping conversational agents
- Researchers implementing RAG systems
How to use the GoLC?
- Step1: Install GoLC with `go get github.com/hupe1980/golc`
- Step2: Import GoLC modules and configure your LLM provider API key
- Step3: Define prompt templates and chain components in Go code
- Step4: Set up document loaders and vector store for retrieval use cases
- Step5: Compose chains or agents, attach memory modules and tools
- Step6: Execute the chain or agent and handle responses in your application
Platform
- mac
- windows
- linux
GoLC's Core Features & Benefits
The Core Features
- Modular chain-of-thought management
- Customizable prompt templating
- Agent framework with tool integration
- Document loaders and vector store support
- Retrieval-augmented generation
- Stateful memory modules
- Plugin architecture for custom tools
The Benefits
- Go-native performance with minimal dependencies
- Rapid prototyping of AI workflows
- Flexible and extensible architecture
- Seamless integration with major LLM APIs
- Production-ready for backend services
GoLC's Main Use Cases & Applications
- Building conversational chatbots
- Implementing retrieval-augmented generation interfaces
- Automating multi-step reasoning tasks
- Developing AI-powered customer support agents
- Prototyping knowledge-based services
GoLC's Pros & Cons
The Pros
Modular composability for flexible application development
Supports a wide range of LLM functionalities including chains, agents, and memory
Provides advanced tools for evaluation and moderation of generated content
Strong focus on document processing capabilities tailored for language applications
Open-source with active repository for community contributions
The Cons
No explicit pricing or commercial support information available
Primarily focused on Go programming language, which may limit adoption to Go developers
Lacks mobile application presence or integrations in popular app stores
No direct information on user interface or ease of use for non-developers
FAQs of GoLC
GoLC Company Information
GoLC Reviews
5/5
GoLC's Main Competitors and alternatives?
- LangChain (Python)
- LlamaIndex
- Haystack
You may also like:
Midjourney: AI-powered image generator to elevate visual creativity and design.
Friendify AI provides personalized recommendations using advanced AI technology.
Create unique AI-generated content in seconds with Dewagear CreateAI.
LiteLLM is an AI agent for seamless natural language interactions.
Refly.AI empowers non-technical creators to automate workflows using natural language and a visual canvas.
Passarel integrates company docs to streamline onboarding with custom language models.
AllChat is a versatile AI assistant that aids in writing, analysis, coding, and more.
OnVerb is an AI-powered platform designed to generate high-quality, customizable content quickly and efficiently.
Flowith is a canvas-based agentic workspace which offers free 🍌Nano Banana Pro and other effective models...
Ollama provides seamless interaction with AI models via a command line interface.
Julep AI Responses is a Node.js SDK that lets you build, configure, and deploy custom conversational AI agents with workflows.
Deploy large language models in seconds and supercharge your business.
OpenAI 01 is an advanced AI series designed for complex reasoning tasks in various fields.
Openfabric AI simplifies AI development with leading-edge blockchain and cryptographic technologies.
PostgresML is a PostgreSQL extension enabling in-database machine learning for training and inference.
Transform AI solutions with cost-effective, on-device technology.
Stackie.AI is an AI-assisted life-logging app to log, track, and reflect on your daily activities.
Automated Root Cause Analysis for minimizing downtime and maximizing efficiency.
EOSDA offers advanced satellite data solutions for precision agriculture and analytics.
Clone, Design, and Create Expressive AI Voices in Seconds, with Perfect Sound Effects and Music.
Olm is an AI-driven platform for creating videos from scratch using Optical Language Models.
Athina AI helps teams build, monitor, and optimize AI applications efficiently.
LangWatch monitors and improves AI systems with quality control and user-analytics.
Observo.ai reduces security and observability costs by 50% using AI-powered pipelines.
AllSeek enhances your search experience by unifying results across multiple platforms.
Nightfall AI offers advanced AI-powered data loss prevention across SaaS and cloud platforms.
Tovuti LMS is an all-in-one platform for creating and managing online learning experiences.