https://github.com/alexhokl/rag

https://github.com/alexhokl/rag

Last synced: 24 days ago
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• Host: GitHub
• URL: https://github.com/alexhokl/rag
• Owner: alexhokl
• License: mit
• Created: 2024-07-13T06:40:47.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-11T03:15:10.000Z (4 months ago)
• Last Synced: 2024-09-20T06:42:38.653Z (3 months ago)
• Language: Go
• Size: 65.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# rag

## Description

This is an application allows user asking questions against documents stored in

a vector database and presents the answers using user-specified large language

model (LLM) via [Ollama](https://ollama.com/). This application also allows user

loading documents from specified sources into a vector database. This

capabilities are useful for building retrieval augmented generation (RAG)

applications where custom documents are used to generate answers to user

questions or queries.

This application assumes vector database and Ollama are setup locally.

## Usage

```

Retrieval augmented generation application

Usage:

  rag [command]

Available Commands:

  ask         Ask a question on the documents stored in the specified vector database

  load        Load documents into a vector database

  query       Query against documents stored in the specified vector database

```

## Libraries

- [tmc/langchaingo](https://github.com/tmc/langchaingo)

- [amikos-tech/chroma-go](https://github.com/amikos-tech/chroma-go)