Spell fix s/e.g/e.g./ across code, tests and docs

This commit is contained in:
Debanjum Singh Solanky
2024-06-24 12:50:33 +05:30
parent 8fc7f980aa
commit 732332a3c5
10 changed files with 18 additions and 17 deletions

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@@ -90,13 +90,13 @@ M-x package-install khoj
See [Khoj Search](/features/search) for details
1. Hit `C-c s s` (or `M-x khoj RET s`) to open khoj search
2. Enter your query in natural language<br/>
E.g *"What is the meaning of life?"*, *"My life goals for 2023"*
E.g. *"What is the meaning of life?"*, *"My life goals for 2023"*
### Chat
See [Khoj Chat](/features/chat) for details
1. Hit `C-c s c` (or `M-x khoj RET c`) to open khoj chat
2. Ask questions in a natural, conversational style<br/>
E.g *"When did I file my taxes last year?"*
E.g. *"When did I file my taxes last year?"*
### Find Similar Entries
This feature finds entries similar to the one you are currently on.
@@ -105,7 +105,7 @@ This feature finds entries similar to the one you are currently on.
### Advanced Usage
- Add [query filters](https://github.com/khoj-ai/khoj/#query-filters) during search to narrow down results further
e.g `What is the meaning of life? -"god" +"none" dt>"last week"`
e.g. `What is the meaning of life? -"god" +"none" dt>"last week"`
- Use `C-c C-o 2` to open the current result at cursor in its source org file
- This calls `M-x org-open-at-point` on the current entry and opens the second link in the entry.

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@@ -31,7 +31,7 @@ See the official [Obsidian Plugin Docs](https://help.obsidian.md/Extending+Obsid
## Use
### Chat
Click the *Khoj chat* icon 💬 on the [Ribbon](https://help.obsidian.md/User+interface/Workspace/Ribbon) or run *Khoj: Chat* from the [Command Palette](https://help.obsidian.md/Plugins/Command+palette) and ask questions in a natural, conversational style.<br />
E.g *"When did I file my taxes last year?"*
E.g. *"When did I file my taxes last year?"*
See [Khoj Chat](/features/chat) for more details

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@@ -10,7 +10,7 @@ Here are some top-level performance metrics for Khoj. These are rough estimates
- Semantic search using the bi-encoder is fairly fast at \<100 ms across all content types
- Reranking using the cross-encoder is slower at \<2s on 15 results. Tweak `top_k` to tradeoff speed for accuracy of results
- Filters in query (e.g by file, word or date) usually add \<20ms to query latency
- Filters in query (e.g. by file, word or date) usually add \<20ms to query latency
### Indexing performance