diff --git a/documentation/docs/contributing/development.mdx b/documentation/docs/contributing/development.mdx
index cf4e0d2c..b98a1701 100644
--- a/documentation/docs/contributing/development.mdx
+++ b/documentation/docs/contributing/development.mdx
@@ -14,7 +14,7 @@ If you're looking for a place to get started, check out the list of [Github Issu
## Local Server Installation
### Using Pip
-#### 1. Install
+#### 1. Khoj Installation
```mdx-code-block
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
@@ -60,9 +60,54 @@ pip install -e '.[dev]'
```
+#### 2. Postgres Installation & Setup
+Khoj uses the `pgvector` package to store embeddings of your index in a Postgres database. To use this, you need to have Postgres installed.
-#### 2. Run
+```mdx-code-block
+
+
+Install [Postgres.app](https://postgresapp.com/). This comes pre-installed with `pgvector` and relevant dependencies.
+
+
+ 1. Use the [recommended installer](https://www.postgresql.org/download/windows/).
+ 2. Follow instructions to [Install PgVector](https://github.com/pgvector/pgvector#windows) in case you need to manually install it. Windows support is experimental for pgvector currently, so we recommend using Docker. Refer to Windows Installation Notes below if there are errors.
+
+
+ From [official instructions](https://wiki.postgresql.org/wiki/Apt)
+
+
+ 1. Follow instructions to [Install Postgres](https://www.postgresql.org/download/)
+ 2. Follow instructions to [Install PgVector](https://github.com/pgvector/pgvector#installation) in case you need to manually install it.
+
+
+```
+
+##### Create the Khoj database
+
+Make sure to update your environment variables to match your Postgres configuration if you're using a different name. The default values should work for most people. When prompted for a password, you can use the default password `postgres`, or configure it to your preference. Make sure to set the environment variable `POSTGRES_PASSWORD` to the same value as the password you set here.
+
+```mdx-code-block
+
+
+ ```shell
+createdb khoj -U postgres --password
+ ```
+
+
+ ```shell
+createdb -U postgres khoj --password
+ ```
+
+
+ ```shell
+sudo -u postgres createdb khoj --password
+ ```
+
+
+```
+
+#### 3. Run
1. Start Khoj
```bash
khoj -vv
@@ -72,6 +117,37 @@ pip install -e '.[dev]'
Note: Wait after configuration for khoj to Load ML model, generate embeddings and expose API to query notes, images, documents etc specified in config YAML
+#### Windows Installation Notes
+1. Command `khoj` Not Recognized
+ - Try reactivating the virtual environment and rerunning the `khoj` command.
+ - If it still doesn't work repeat the installation process.
+2. Python Package Missing *Usually says import xxx not recognized*
+ - Use `pip install xxx` and try running the `khoj` command.
+3. Command `createdb` Not Recognized
+ - make sure path to postgres binaries is included in environment variables. It usually looks something like
+ ```
+ C:\Program Files\PostgreSQL\16\bin
+ ```
+4. Connection Refused on port xxxx
+ - Locate the `pg_hba.conf` file in the location where postgres was installed.
+ - Edit the file to have **trust** as the method for user postgres, local, and host connections.
+ - Below is an example:
+```
+host all postgres 127.0.0.1/32 trust
+# "local" is for Unix domain socket connections only
+local all all trust
+# IPv4 local connections:
+host all all 127.0.0.1/32 trust
+# IPv6 local connections:
+host all all ::1/128 trust
+```
+4. Errors with installing pgvector
+ - Reinstall Visual Studio 2022 Build Tools with:
+ 1. desktop development with c++ selected in workloads
+ 2. MSVC (C++ Build Tools), Windows 10/11 SDK, and C++/CLI support for build tools selected in individual components.
+ - Open the x64 Native Tools Command Prompt as an Administrator
+ - Follow the pgvector windows installation [instructions](https://github.com/pgvector/pgvector?tab=readme-ov-file#windows) in this command prompt.
+
### Using Docker
Make sure you install the latest version of [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/).