To set your preferred chat model, you'll want to enter the provider's
name here:
-
-
-
And to set your preferred embedding provider:
-
-
-
-
\ No newline at end of file
+
\ No newline at end of file
diff --git a/src/public/app/doc_notes/en/User Guide/User Guide/AI/AI Provider Information/Ollama/Installing Ollama.html b/src/public/app/doc_notes/en/User Guide/User Guide/AI/AI Provider Information/Ollama/Installing Ollama.html
index 6d53eed6c..39d9ee00d 100644
--- a/src/public/app/doc_notes/en/User Guide/User Guide/AI/AI Provider Information/Ollama/Installing Ollama.html
+++ b/src/public/app/doc_notes/en/User Guide/User Guide/AI/AI Provider Information/Ollama/Installing Ollama.html
@@ -1,5 +1,3 @@
-
-
Ollama can be installed in a variety
of ways, and even runs within a Docker container.
Ollama will be noticeably quicker when running on a GPU (Nvidia, AMD, Intel),
@@ -18,7 +16,6 @@ class="image image_resized" style="width:50.49%;">
-
After their installer completes, if you're on Windows, you should see
an entry in the start menu to run it:
-
Also, you should have access to the ollama CLI via Powershell
or CMD:
-
After Ollama is installed, you can go ahead and pull the models
you want to use and run. Here's a command to pull my favorite tool-compatible
- model and embedding model as of April 2025:
ollama pull llama3.1:8b
+ model and embedding model as of April 2025:
Also, you can make sure it's running by going to http://localhost:11434 and
you should get the following response (port 11434 being the “normal” Ollama
port):
-
-
Now that you have Ollama up and running, have a few models pulled, you're
ready to go to go ahead and start using Ollama as both a chat provider,
- and embedding provider!
-
\ No newline at end of file
+ and embedding provider!
\ No newline at end of file
diff --git a/src/public/app/doc_notes/en/User Guide/User Guide/AI/Introduction.html b/src/public/app/doc_notes/en/User Guide/User Guide/AI/Introduction.html
index 9b7d1e5b0..b873f9ca9 100644
--- a/src/public/app/doc_notes/en/User Guide/User Guide/AI/Introduction.html
+++ b/src/public/app/doc_notes/en/User Guide/User Guide/AI/Introduction.html
@@ -1,31 +1,26 @@
-
An example chat with an LLM
-
The AI / LLM features within Trilium Notes are designed to allow you to
interact with your Notes in a variety of ways, using as many of the major
providers as we can support.
-
In addition to being able to send chats to LLM providers such as OpenAI,
Anthropic, and Ollama - we also support agentic tool calling, and embeddings.
-
The quickest way to get started is to navigate to the “AI/LLM” settings:
-
Enable the feature:
-
-
Embeddings
+
+
Embeddings
Embeddings are important as it allows us to have an compact
AI “summary” (it's not human readable text) of each of your Notes, that
we can then perform mathematical functions on (such as cosine similarity)
@@ -37,7 +32,7 @@ class="image image_resized" style="width:74.04%;">
In the following example, we're going to use our self-hosted Ollama instance
to create the embeddings for our Notes. You can see additional documentation
about installing your own Ollama locally in Installing Ollama.
To see what embedding models Ollama has available, you can check out
this searchon their website, and then pull whichever one
@@ -51,7 +46,6 @@ class="image image_resized" style="width:74.04%;">
-
When selecting the dropdown for the “Embedding Model”, embedding models
should be at the top of the list, separated by regular chat models with
a horizontal line, as seen below:
After selecting an embedding model, embeddings should automatically begin
to be generated by checking the embedding statistics at the top of the
“AI/LLM” settings panel:
If you don't see any embeddings being created, you will want to scroll
to the bottom of the settings, and hit “Recreate All Embeddings”:
-
Creating the embeddings will take some time, and will be regenerated when
a Note is created, updated, or deleted (removed).
If for some reason you choose to change your embedding provider, or the
model used, you'll need to recreate all embeddings.
-
-
Tools
Tools are essentially functions that we provide to the various LLM providers,
and then LLMs can respond in a specific format that tells us what tool
function and parameters they would like to invoke. We then execute these
tools, and provide it as additional context in the Chat conversation.
-
These are the tools that currently exist, and will certainly be updated
to be more effectively (and even more to be added!):
You don't need to tell the LLM to execute a certain tool, it should “smartly”
call tools and automatically execute them as needed.
-
Overview
-
Now that you know about embeddings and tools, you can just go ahead and
use the “Chat with Notes” button, where you can go ahead and start chatting!:
-
If you don't see the “Chat with Notes” button on your side launchbar,
you might need to move it from the “Available Launchers” section to the
“Visible Launchers” section:
-
- 
- 
- 
- 
