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Update Readme to Install Khoj using Pip by Default
- Instructions to Install Khoj using Docker have been moved to the Development Section - Simplify Section Headings
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123
Readme.md
123
Readme.md
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@ -13,17 +13,17 @@
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- [Analysis](#Analysis)
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- [Architecture](#Architecture)
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- [Setup](#Setup)
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- [Clone](#1.-Clone)
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- [Configure](#2.-Configure)
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- [Run](#3.-Run)
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- [Install](#1-Install)
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- [Configure](#2-Configure)
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- [Run](#3-Run)
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- [Use](#Use)
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- [Upgrade](#Upgrade)
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- [Troubleshoot](#Troubleshoot)
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- [Miscellaneous](#Miscellaneous)
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- [Development Setup](#Development-setup)
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- [Setup on Local Machine](#Setup-on-local-machine)
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- [Upgrade on Local Machine](#Upgrade-on-local-machine)
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- [Run Unit Tests](#Run-unit-tests)
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- [Development](#Development)
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- [Setup](#Setup-1)
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- [Upgrade](#Upgrade-1)
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- [Test](#Test)
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- [Performance](#Performance)
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- [Query Performance](#Query-performance)
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- [Indexing Performance](#Indexing-performance)
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@ -61,52 +61,45 @@
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![](https://github.com/debanjum/khoj/blob/master/docs/khoj_architecture.png)
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## Setup
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### 1. Clone
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``` shell
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git clone https://github.com/debanjum/khoj && cd khoj
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```
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### 1. Install
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``` shell
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pip install khoj-assistant
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```
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### 2. Configure
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- **Required**: Update [docker-compose.yml](./docker-compose.yml) to mount your images, (org-mode or markdown) notes and beancount directories
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- **Optional**: Edit application configuration in [khoj_sample.yml](./config/khoj_sample.yml)
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- Set `input-files` or `input-filter` in each relevant `content-type` section of [khoj_sample.yml](./config/khoj_sample.yml)
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- Set `input-directories` field in `content-type.image` section
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- Delete `content-type` sections irrelevant for your use-case
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### 3. Run
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``` shell
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docker-compose up -d
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```
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*Note: The first run will take time. Let it run, it\'s mostly not hung, just generating embeddings*
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``` shell
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khoj config/khoj_sample.yml -vv
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```
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Loads ML model, generates embeddings and exposes API to search notes, images, transactions etc specified in config YAML
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## Use
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- **Khoj via Web**
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- Go to <http://localhost:8000/> or open [index.html](./src/interface/web/index.html) in your browser
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- Open <http://localhost:8000/>
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- **Khoj via Emacs**
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- [Install](https://github.com/debanjum/khoj/tree/master/src/interface/emacs#installation) [khoj.el](./src/interface/emacs/khoj.el)
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- Run `M-x khoj <user-query>`
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- **Khoj via API**
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- See [Khoj FastAPI Docs](http://localhost:8000/docs)
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- [Query](http://localhost:8000/search?q=%22what%20is%20the%20meaning%20of%20life%22)
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- [Regenerate Embeddings](http://localhost:8000/regenerate?t=ledger)
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- [Configure Application](https://localhost:8000/ui)
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- See [Khoj FastAPI Docs](http://localhost:8000/docs), [Khoj FastAPI ReDocs](http://localhost:8000/redocs)
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## Upgrade
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``` shell
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docker-compose build --pull
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pip install --upgrade khoj-assistant
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```
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## Troubleshoot
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- Symptom: Errors out with \"Killed\" in error message
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- Symptom: Errors out complaining about Tensors mismatch, null etc
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- Mitigation: Delete `content-type` > `image` section from `khoj_sample.yml`
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- Symptom: Errors out with \"Killed\" in error message in Docker
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- Fix: Increase RAM available to Docker Containers in Docker Settings
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- Refer: [StackOverflow Solution](https://stackoverflow.com/a/50770267), [Configure Resources on Docker for Mac](https://docs.docker.com/desktop/mac/#resources)
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- Symptom: Errors out complaining about Tensors mismatch, null etc
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- Mitigation: Delete content-type > image section from `khoj_sample.yml`
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## Miscellaneous
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- It is disabled by default
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- To use it add your `openai-api-key` to config.yml
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## Development Setup
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## Development
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### Setup
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#### Using Docker
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1. Clone
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### Setup on Local Machine
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``` shell
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git clone https://github.com/debanjum/khoj && cd khoj
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```
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#### Using Pip
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1. Install Dependencies
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1. Python3, Pip \[Required\]
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2. Virualenv \[Optional\]
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3. Install Exiftool \[Optional\]
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``` shell
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sudo apt-get -y install libimage-exiftool-perl
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```
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2. Configure
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2. Install Khoj
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``` shell
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virtualenv -m python3 .venv && source .venv/bin/activate # Optional
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pip install khoj-assistant
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```
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- **Required**: Update [docker-compose.yml](./docker-compose.yml) to mount your images, (org-mode or markdown) notes and beancount directories
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- **Optional**: Edit application configuration in [khoj_docker.yml](./config/khoj_docker.yml)
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3. Configure
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- Configure files/directories to search in `content-type` section of `khoj_sample.yml`
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- To run application on test data, update file paths containing `/data/` to `tests/data/` in `khoj_sample.yml`
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- Example replace `/data/notes/*.org` with `tests/data/notes/*.org`
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3. Run
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4. Run
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Load ML model, generate embeddings and expose API to query notes, images, transactions etc specified in config YAML
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``` shell
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docker-compose up -d
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```
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``` shell
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khoj -c=config/khoj_sample.yml -vv
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```
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*Note: The first run will take time. Let it run, it\'s mostly not hung, just generating embeddings*
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#### Using Conda
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1. Install Dependencies
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1. Install Python3 \[Required\]
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2. [Install Conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html) \[Required\]
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3. Install Exiftool \[Optional\]
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``` shell
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sudo apt-get -y install libimage-exiftool-perl
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```
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- [Install Conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html) \[Required\]
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- Install Exiftool \[Optional\]
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``` shell
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sudo apt -y install libimage-exiftool-perl
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```
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2. Install Khoj
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``` shell
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@ -162,9 +145,9 @@ docker-compose build --pull
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```
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3. Configure
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- Configure files/directories to search in `content-type` section of `khoj_sample.yml`
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- To run application on test data, update file paths containing `/data/` to `tests/data/` in `khoj_sample.yml`
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- Example replace `/data/notes/*.org` with `tests/data/notes/*.org`
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- Set `input-files` or `input-filter` in each relevant `content-type` section of `khoj_sample.yml`
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- Set `input-directories` field in `image` `content-type` section
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- Delete `content-type` sections irrelevant for your use-case
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4. Run
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Load ML model, generate embeddings and expose API to query notes, images, transactions etc specified in config YAML
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@ -173,10 +156,12 @@ docker-compose build --pull
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python3 -m src.main -c=config/khoj_sample.yml -vv
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```
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### Upgrade On Local Machine
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#### Using Pip
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### Upgrade
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#### Using Docker
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``` shell
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pip install --upgrade khoj-assistant
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docker-compose build --pull
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```
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#### Using Conda
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@ -188,7 +173,7 @@ conda env update -f config/environment.yml
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conda activate khoj
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```
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### Run Unit Tests
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### Test
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``` shell
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pytest
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