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Embeddingsearch is a DotNet C# library that uses Embedding Similarity Search (similiarly to [Magna](https://github.com/yousef-rafat/Magna/tree/main)) to semantically compare a given input to a database of pre-processed entries. Embeddingsearch is a DotNet C# library that uses Embedding Similarity Search (similiarly to [Magna](https://github.com/yousef-rafat/Magna/tree/main)) to semantically compare a given input to a database of pre-processed entries.
This repository comes with This repository comes with
- the library - a server
- a clientside library
- a ready-to-use CLI module - a ready-to-use CLI module
- a REST API server (WIP) for if you want to process the data on a remote server or make it available to other languages. - an API for if you want to process the data on a remote server or make it available to other languages.
(Reranker support is planned, but its integration is not yet conceptualized.) (Currently only initial retrieval is implemented.
Reranker support is planned, but its integration is not yet conceptualized.)
# How to set up # How to set up
## server
1. Install [ollama](https://ollama.com/download) 1. Install [ollama](https://ollama.com/download)
2. Pull a few models using ollama (e.g. `paraphrase-multilingual`, `bge-m3`, `mxbai-embed-large`, `nomic-embed-text`) 2. Pull a few models using ollama (e.g. `paraphrase-multilingual`, `bge-m3`, `mxbai-embed-large`, `nomic-embed-text`)
3. [Install the depencencies](#installing-the-dependencies) 3. [Install the depencencies](docs/Server.md#installing-the-dependencies)
4. [Set up a local mysql database](#mysql-database-setup) 4. [Set up a local mysql database](docs/Server.md#mysql-database-setup)
5. (optional) [Create a searchdomain](#create-a-searchdomain) 5. (optional) [Create a searchdomain](#create-a-searchdomain)
## indexer
# Installing the dependencies TBD
## Ubuntu 24.04 ## client
1. `sudo apt update && sudo apt install dotnet-sdk-8.0 -y` 1. Download the package and add it to your project (TODO: NuGet)
## Windows 2. Create a new client by either:
Download the [.NET SDK](https://dotnet.microsoft.com/en-us/download) or follow these steps to use WSL: 1. By injecting IConfiguration (e.g. `services.AddSingleton<Client>();`)
1. Install Ubuntu in WSL (`wsl --install` and `wsl --install -d Ubuntu`) 2. By specifying the baseUri, apiKey, and searchdomain (e.g. `new Client.Client(baseUri, apiKey, searchdomain)`)
2. Enter your WSL environment `wsl.exe` and configure it
3. Update via `sudo apt update && sudo apt upgrade -y && sudo snap refresh`
4. GOTO [Ubuntu 24.04](#Ubuntu-24.04)
# MySQL database setup
1. Install the MySQL server:
- Linux/WSL: `sudo apt install mysql-server`
- Windows: [MySQL Community Server](https://dev.mysql.com/downloads/mysql/)
2. connect to it: `sudo mysql -u root` (Or from outside of WSL: `mysql -u root`)
3. Create the database
`CREATE DATABASE embeddingsearch; use embeddingsearch;`
4. Create the user
`CREATE USER 'embeddingsearch'@'%' identified by "somepassword!"; GRANT ALL ON embeddingsearch.* TO embeddingsearch; FLUSH PRIVILEGES;`
5. Create the tables: `dotnet build` and `src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --database --setup`
# Using the CLI
Before anything follow these steps:
1. Enter the project's `src` directory (used as the working directory in all examples)
2. Build the project: `dotnet build`
All user-defined parameters are denoted using the `$` symbol. I.e. `$mysql_ip` means: replace this with your MySQL IP address or set it as a local variable in your terminal session.
## Database
### Create or check
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --database --create [--setup]`
Without the `--setup` parameter a "dry-run" is performed. I.e. no actions are taken. Only the database is checked for read access and that all tables exist.
## Searchdomain
### Create a searchdomain
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --searchdomain --create -s $searchdomain_name`
Creates the searchdomain as specified under `$searchdomain_name`
### List searchdomains
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --searchdomain --list`
List all searchdomains
### Update searchdomain
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --searchdomain --update -s $searchdomain_name [-n $searchdomain_newname] [-S $searchdomain_newsettings]`
Set a new name and/or update the settings for the searchdomain.
### Delete searchdomain
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --searchdomain --delete -s $searchdomain_name`
Deletes a searchdomain and its corresponding entites.
## Entity
### Create / Index entity
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --index -o $ollama_URL -s $searchdomain_name -e $entities_as_JSON`
Creates the entities using the json string as specified under $entities_as_JSON
Example:
- Linux: `src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --index -o $ollama_URL -s $searchdomain_name -e '[{"name": "myfile.txt", "probmethod": "weighted_average", "searchdomain": "mysearchdomain", "attributes": {"mimetype": "text-plain"}, "datapoints": [{"name": "text", "text": "this is the full text", "probmethod_embedding": "weighted_average", "model": ["bge-m3", "nomic-embed-text", "paraphrase-multilingual"]}, {"name": "filepath", "text": "/home/myuser/myfile.txt", "probmethod_embedding": "weighted_average", "model": ["bge-m3", "nomic-embed-text", "paraphrase-multilingual"]}]}]'`
- Powershell: `src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --index -o $ollama_URL -s $searchdomain_name -e '[{\"name\": \"myfile.txt\", \"probmethod\": \"weighted_average\", \"searchdomain\": \"mysearchdomain\", \"attributes\": {\"mimetype\": \"text-plain\"}, \"datapoints\": [{\"name\": \"text\", \"text\": \"this is the full text\", \"probmethod_embedding\": \"weighted_average\", \"model\": [\"bge-m3\", \"nomic-embed-text\", \"paraphrase-multilingual\"]}, {\"name\": \"filepath\", \"text\": \"\/home\/myuser\/myfile.txt\", \"probmethod_embedding\": \"weighted_average\", \"model\": [\"bge-m3\", \"nomic-embed-text\", \"paraphrase-multilingual\"]}]}]'`
Only the json:
```json
[
{
"name": "myfile.txt",
"probmethod": "weighted_average",
"searchdomain": "mysearchdomain",
"attributes": {
"mimetype": "text-plain"
},
"datapoints": [
{
"name": "text",
"text": "this is the full text",
"probmethod_embedding": "weighted_average",
"model": [
"bge-m3",
"nomic-embed-text",
"paraphrase-multilingual"
]
},
{
"name": "filepath",
"text": "/home/myuser/myfile.txt",
"probmethod_embedding": "weighted_average",
"model": [
"bge-m3",
"nomic-embed-text",
"paraphrase-multilingual"
]
}
]
}
]
```
### Evaluate query (i.e. "search"; that what you're here for)
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --evaluate -o $ollama_URL -s $searchdomain_name -q $query_string [-n $max_results]`
Executes a search using the specified query string and outputs the results.
### List entities
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --list -s $searchdomain_name`
Lists all entities in that domain (together with its attributes and datapoints and probmethod)
### Delete entity
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --remove -s $searchdomain_name -n $entity_name`
Deletes the entity specified by `$entity_name`.
# Known issues # Known issues
| Issue | Solution | | Issue | Solution |
| --- | --- | | --- | --- |
| Failed to load /usr/lib/dotnet/host/fxr/8.0.15/libhostfxr.so, error: /snap/core20/current/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /usr/lib/dotnet/host/fxr/8.0.15/libhostfxr.so) | You likely installed dotnet via snap. Try using `/usr/bin/dotnet` instead of `dotnet`. | | Failed to load /usr/lib/dotnet/host/fxr/8.0.15/libhostfxr.so, error: /snap/core20/current/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.29' not found (required by /usr/lib/dotnet/host/fxr/8.0.15/libhostfxr.so) | You likely installed dotnet via snap instead of apt. Try running the CLI using `/usr/bin/dotnet` instead of `dotnet`. |
| Unhandled exception. MySql.Data.MySqlClient.MySqlException (0x80004005): Invalid attempt to access a field before calling Read() | The searchdomain you entered does not exist | | Unhandled exception. MySql.Data.MySqlClient.MySqlException (0x80004005): Invalid attempt to access a field before calling Read() | The searchdomain you entered does not exist |
| Unhandled exception. MySql.Data.MySqlClient.MySqlException (0x80004005): Authentication to host 'localhost' for user 'embeddingsearch' using method 'caching_sha2_password' failed with message: Access denied for user 'embeddingsearch'@'localhost' (using password: YES) | TBD | | Unhandled exception. MySql.Data.MySqlClient.MySqlException (0x80004005): Authentication to host 'localhost' for user 'embeddingsearch' using method 'caching_sha2_password' failed with message: Access denied for user 'embeddingsearch'@'localhost' (using password: YES) | TBD |
# To-do # To-do
- (High priority) Add default indexer
- Library
- Processing:
- Text / Markdown documents: file name, full text, paragraphs
- Documents
- PDF: file name, full text, headline?, paragraphs, images?
- odt/docx: file name, full text, headline?, images?
- msg/eml: file name, title, recipients, cc, text
- Images: file name, OCR, image description?
- Videos?
- Presentations (Impress/Powerpoint): file name, full text, first slide title, titles, slide texts
- Tables (Calc / Excel): file name, tab/page names?, full text (per tab/page)
- Other? (TBD)
- Server
- Scripting capability (Python; perhaps also lua)
- Intended sourcing possibilities:
- Local/Remote files (CIFS, SMB, FTP)
- Database contents (MySQL, MSSQL)
- Web requests (E.g. manual crawling)
- Script call management (interval based & event based)
- NuGet packaging and according README documentation
- Add "Click-Through" result evaluation (For each entity: store a list of queries that led to the entity being chosen by the user. Then at query-time choose the best-fitting entry and maybe use it as another datapoint? Or use a separate weight function?) - Add "Click-Through" result evaluation (For each entity: store a list of queries that led to the entity being chosen by the user. Then at query-time choose the best-fitting entry and maybe use it as another datapoint? Or use a separate weight function?)
- Reranker/Crossencoder/RAG (or anything else beyond initial retrieval) support
- Implement environment variable use in CLI - Implement environment variable use in CLI
- fix the `--help` functionality - fix the `--help` functionality
- Rename `cli` to something unique but still short, e.g. `escli`? - Rename `cli` to something unique but still short, e.g. `escli`?
- Improve error messaging for when retrieving a searchdomain fails. - Improve error messaging for when retrieving a searchdomain fails.
- Remove the `id` collumns from the database tables where the table is actually identified (and should be unique by) the name, which should become the new primary key. - Remove the `id` collumns from the database tables where the table is actually identified (and should be unique by) the name, which should become the new primary key.
- Implement the api server
- Improve performance & latency (Create ready-to-go processes where each contain an n'th share of the entity cache, ready to perform a query. Prepare it after creating the entity cache.) - Improve performance & latency (Create ready-to-go processes where each contain an n'th share of the entity cache, ready to perform a query. Prepare it after creating the entity cache.)
- Write a Linux installer for the CLI tool - Write a Linux installer for the CLI tool
- Make the API server a docker container - Make the API server (and indexer, once it is done) a docker container
- Maybe add a config such that one does not need to always specify the MySQL connection info
# Future features # Future features
- Support for other database types (TSQL, SQLite) - Support for other database types (MSSQL, SQLite)
# Community
[![Discord
Server](https://img.shields.io/badge/Join%20Discord-7289DA?style=flat&logo=discord&logoColor=whiteServer](https://img.shields.io/badge/Join%20Discord-7289DA?style=flat&logo=discord&lgoColor=white)](https://discord.gg/MUKeZM3k)

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# Using the CLI
Before anything follow these steps:
1. Enter the project's `src` directory (used as the working directory in all examples)
2. Build the project: `dotnet build`
All user-defined parameters are denoted using the `$` symbol. I.e. `$mysql_ip` means: replace this with your MySQL IP address or set it as a local variable in your terminal session.
## Database
### Create or check
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --database --create [--setup]`
Without the `--setup` parameter a "dry-run" is performed. I.e. no actions are taken. Only the database is checked for read access and that all tables exist.
## Searchdomain
### Create a searchdomain
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --searchdomain --create -s $searchdomain_name`
Creates the searchdomain as specified under `$searchdomain_name`
### List searchdomains
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --searchdomain --list`
List all searchdomains
### Update searchdomain
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --searchdomain --update -s $searchdomain_name [-n $searchdomain_newname] [-S $searchdomain_newsettings]`
Set a new name and/or update the settings for the searchdomain.
### Delete searchdomain
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --searchdomain --delete -s $searchdomain_name`
Deletes a searchdomain and its corresponding entites.
## Entity
### Create / Index entity
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --index -o $ollama_URL -s $searchdomain_name -e $entities_as_JSON`
Creates the entities using the json string as specified under $entities_as_JSON
Example:
- Linux: `src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --index -o $ollama_URL -s $searchdomain_name -e '[{"name": "myfile.txt", "probmethod": "weighted_average", "searchdomain": "mysearchdomain", "attributes": {"mimetype": "text-plain"}, "datapoints": [{"name": "text", "text": "this is the full text", "probmethod_embedding": "weighted_average", "model": ["bge-m3", "nomic-embed-text", "paraphrase-multilingual"]}, {"name": "filepath", "text": "/home/myuser/myfile.txt", "probmethod_embedding": "weighted_average", "model": ["bge-m3", "nomic-embed-text", "paraphrase-multilingual"]}]}]'`
- Powershell: `src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --index -o $ollama_URL -s $searchdomain_name -e '[{\"name\": \"myfile.txt\", \"probmethod\": \"weighted_average\", \"searchdomain\": \"mysearchdomain\", \"attributes\": {\"mimetype\": \"text-plain\"}, \"datapoints\": [{\"name\": \"text\", \"text\": \"this is the full text\", \"probmethod_embedding\": \"weighted_average\", \"model\": [\"bge-m3\", \"nomic-embed-text\", \"paraphrase-multilingual\"]}, {\"name\": \"filepath\", \"text\": \"\/home\/myuser\/myfile.txt\", \"probmethod_embedding\": \"weighted_average\", \"model\": [\"bge-m3\", \"nomic-embed-text\", \"paraphrase-multilingual\"]}]}]'`
Only the json:
```json
[
{
"name": "myfile.txt",
"probmethod": "weighted_average",
"searchdomain": "mysearchdomain",
"attributes": {
"mimetype": "text-plain"
},
"datapoints": [
{
"name": "text",
"text": "this is the full text",
"probmethod_embedding": "weighted_average",
"model": [
"bge-m3",
"nomic-embed-text",
"paraphrase-multilingual"
]
},
{
"name": "filepath",
"text": "/home/myuser/myfile.txt",
"probmethod_embedding": "weighted_average",
"model": [
"bge-m3",
"nomic-embed-text",
"paraphrase-multilingual"
]
}
]
}
]
```
### Evaluate query (i.e. "search"; that what you're here for)
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --evaluate -o $ollama_URL -s $searchdomain_name -q $query_string [-n $max_results]`
Executes a search using the specified query string and outputs the results.
### List entities
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --list -s $searchdomain_name`
Lists all entities in that domain (together with its attributes and datapoints and probmethod)
### Delete entity
`src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --entity --remove -s $searchdomain_name -n $entity_name`
Deletes the entity specified by `$entity_name`.

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# Server
The server by default
- runs on port 5146
- Uses Swagger UI in development mode (`/swagger/index.html`)
- Ignores API keys when not in development mode
# Installing the dependencies
## Ubuntu 24.04
1. `sudo apt update && sudo apt install dotnet-sdk-8.0 -y`
## Windows
Download the [.NET SDK](https://dotnet.microsoft.com/en-us/download) or follow these steps to use WSL:
1. Install Ubuntu in WSL (`wsl --install` and `wsl --install -d Ubuntu`)
2. Enter your WSL environment `wsl.exe` and configure it
3. Update via `sudo apt update && sudo apt upgrade -y && sudo snap refresh`
4. Continue here: [Ubuntu 24.04](#Ubuntu-24.04)
# MySQL database setup
1. Install the MySQL server:
- Linux/WSL: `sudo apt install mysql-server`
- Windows: [MySQL Community Server](https://dev.mysql.com/downloads/mysql/)
2. connect to it: `sudo mysql -u root` (Or from outside of WSL: `mysql -u root`)
3. Create the database
`CREATE DATABASE embeddingsearch; use embeddingsearch;`
4. Create the user
`CREATE USER 'embeddingsearch'@'%' identified by "somepassword!"; GRANT ALL ON embeddingsearch.* TO embeddingsearch; FLUSH PRIVILEGES;`
5. Create the tables using the CLI tool: `dotnet build` and `src/cli/bin/Debug/net8.0/cli -h $mysql_ip -p $mysql_port -U $mysql_username -P $mysql_password --database --setup`