Awesome
ChatDocs
Chat with your documents offline using AI. No data leaves your system. Internet connection is only required to install the tool and download the AI models. It is based on PrivateGPT but has more features.
Contents
Features
- Supports GGML/GGUF models via CTransformers
- Supports 🤗 Transformers models
- Supports GPTQ models
- Web UI
- GPU support
- Highly configurable via
chatdocs.yml
Extension | Format |
---|---|
.csv | CSV |
.docx , .doc | Word Document |
.enex | EverNote |
.eml | |
.epub | EPub |
.html | HTML |
.md | Markdown |
.msg | Outlook Message |
.odt | Open Document Text |
.pdf | Portable Document Format (PDF) |
.pptx , .ppt | PowerPoint Document |
.txt | Text file (UTF-8) |
Installation
Install the tool using:
pip install chatdocs
Download the AI models using:
chatdocs download
Now it can be run offline without internet connection.
Usage
Add a directory containing documents to chat with using:
chatdocs add /path/to/documents
The processed documents will be stored in
db
directory by default.
Chat with your documents using:
chatdocs ui
Open http://localhost:5000 in your browser to access the web UI.
It also has a nice command-line interface:
chatdocs chat
<details>
<summary><strong>Show preview</strong></summary><br>
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Configuration
All the configuration options can be changed using the chatdocs.yml
config file. Create a chatdocs.yml
file in some directory and run all commands from that directory. For reference, see the default chatdocs.yml
file.
You don't have to copy the entire file, just add the config options you want to change as it will be merged with the default config. For example, see tests/fixtures/chatdocs.yml
which changes only some of the config options.
Embeddings
To change the embeddings model, add and change the following in your chatdocs.yml
:
embeddings:
model: hkunlp/instructor-large
Note: When you change the embeddings model, delete the
db
directory and add documents again.
CTransformers
To change the CTransformers (GGML/GGUF) model, add and change the following in your chatdocs.yml
:
ctransformers:
model: TheBloke/Wizard-Vicuna-7B-Uncensored-GGML
model_file: Wizard-Vicuna-7B-Uncensored.ggmlv3.q4_0.bin
model_type: llama
Note: When you add a new model for the first time, run
chatdocs download
to download the model before using it.
You can also use an existing local model file:
ctransformers:
model: /path/to/ggml-model.bin
model_type: llama
🤗 Transformers
To use 🤗 Transformers models, add the following to your chatdocs.yml
:
llm: huggingface
To change the 🤗 Transformers model, add and change the following in your chatdocs.yml
:
huggingface:
model: TheBloke/Wizard-Vicuna-7B-Uncensored-HF
Note: When you add a new model for the first time, run
chatdocs download
to download the model before using it.
To use GPTQ models with 🤗 Transformers, install the necessary packages using:
pip install chatdocs[gptq]
GPU
Embeddings
To enable GPU (CUDA) support for the embeddings model, add the following to your chatdocs.yml
:
embeddings:
model_kwargs:
device: cuda
You may have to reinstall PyTorch with CUDA enabled by following the instructions here.
CTransformers
To enable GPU (CUDA) support for the CTransformers (GGML/GGUF) model, add the following to your chatdocs.yml
:
ctransformers:
config:
gpu_layers: 50
You may have to install the CUDA libraries using:
pip install ctransformers[cuda]
🤗 Transformers
To enable GPU (CUDA) support for the 🤗 Transformers model, add the following to your chatdocs.yml
:
huggingface:
device: 0
You may have to reinstall PyTorch with CUDA enabled by following the instructions here.