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https://github.com/inkandswitch/ksp
Reference implementation of Knowledge Server Protocol (KSP)
https://github.com/inkandswitch/ksp
Last synced: about 2 months ago
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Reference implementation of Knowledge Server Protocol (KSP)
- Host: GitHub
- URL: https://github.com/inkandswitch/ksp
- Owner: inkandswitch
- Created: 2020-03-25T18:32:38.000Z (over 4 years ago)
- Default Branch: default
- Last Pushed: 2020-05-13T17:01:10.000Z (over 4 years ago)
- Last Synced: 2024-05-10T00:18:07.701Z (5 months ago)
- Language: Rust
- Homepage:
- Size: 169 KB
- Stars: 47
- Watchers: 7
- Forks: 6
- Open Issues: 4
-
Metadata Files:
- Readme: Readme.md
Awesome Lists containing this project
README
# The Knowledge Server
We want to discover & surface connections between ideas, documents and concepts. This ability is something other tools have specialized in but each within their own silos. By creating an index of that knowledge for a user, we can give them the superpower to discover connections among their own work where ever they go.
*Warning: This is an experimental piece of research software presented for transparency, and is incomplete, unsupported, and likely to stop working.*
### Implementation
This repository is reference implementation in Rust. It exposes [GraphQL][] API
so that other tools can interface to submit / discover connections between
resources identified by URLs (Local resources are represented via file:/// URLs).
### Usage
At the moment no binaries are distributed, however you can build / run using
[cargo][]. To create a (debug) build run:
```sh
cargo +nightly build
```
By default, the build will produce a binary at `./target/debug/knowledge-server`.
#### Server
You can start a knowledge-server by running:
```sh
./target/debug/knowledge-server serve
```
Once it's running you can explore protocol schema, execute queries / mutations
using GraphQL IDE at http://localhost:8080/graphiql.
(This won't be very interesting at first, as you won't have submitted any data to it.)
#### Daemon
You can spawn a knowledge-server as a daemon by runing:
```sh
./target/debug/knowledge-server daemon
```
#### Scan / Ingest content
You can ingest local markdown files into your knowledge base
by running:
```sh
./target/debug/knowledge-server scan $YOUR_PATH_HERE
```
### Local Storage
Browsing history can be sensitive. That's one of the reasons KSP keeps all its data on your local machine. We haven't built any tools to remove data from KSP, but it stores it data in `~/.knowledge-service/`. Most of the data is stored in a `.sqlite` file, which you can inspect and modify at your own peril, but the full-text TF-IDF data lives in a special format used by the [Tantivy](https://github.com/tantivy-search/tantivy/) library.
### Hacking Notes
We ran into [issue][rust-lang/rls-vscode#755] with [rls-vscode][] extension. If
you use vscode you may want to consider [rust analyzer][] instead.
[rust-lang/rls-vscode#755]: https://github.com/rust-lang/rls-vscode/issues/755
[cargo]: https://doc.rust-lang.org/cargo/ 'Rust package manager'
[graphql]: https://graphql.org/ 'A query language for your API'
[rls-vscode]: https://github.com/rust-lang/rls-vscode 'Rust support for Visual Studio Code'
[rust analyzer]: https://rust-analyzer.github.io/