goprivategpt

Implementation of PrivateGPT in Go using langchaingo and go-llama.cpp.

Supported file extensions:

• csv
• html
• txt

Supported vector stores:

• sqlite-vss
• weaviate

Requirements for running:

• ggml model

Dependencies

• brew install libomp

Building

• Mac:

make build-metal

• Linux:

make build

Usage

A way for you to interact with your documents.

Usage:
  goprivategpt [command]

Available Commands:
  ask         completes a given input
  help        Help about any command
  ingest      Ingests documents from source directory into the vector store
  server      Starts the http server

Flags:
  -h, --help               help for goprivategpt
  -s, --storeaddr string   Vector store filename or address (default "goprivategpt.db")
  -t, --threads int        Number of threads for LLM (default 8)
  -n, --tokens int         Number of max tokens in response (default 512)

Use "goprivategpt [command] --help" for more information about a command.