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Changes to RAG page#1621

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Merged
SilasMarvin merged 1 commit intomasterfromsilas/rag-page
Sep 19, 2024
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Original file line numberDiff line numberDiff line change
Expand Up@@ -95,6 +95,21 @@ export default class extends Controller {
};
}

onQuestionChange() {
let transaction = this.editor.state.update({
changes: {
from: 0,
to: this.editor.state.doc.length,
insert: generateSql(
this.currentTask(),
this.currentModel(),
this.questionInputTarget.value,
),
},
});
this.editor.dispatch(transaction);
}

currentTask() {
return this.hasTaskTarget ? this.taskTarget.value : this.defaultTaskValue;
}
Expand Down
11 changes: 10 additions & 1 deletionpgml-dashboard/src/components/code_editor/editor/mod.rs
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Original file line numberDiff line numberDiff line change
Expand Up@@ -14,6 +14,7 @@ pub struct Editor {
is_editable: bool,
run_on_visible: bool,
content: Option<String>,
default_result: String,
}

impl Editor {
Expand All@@ -29,6 +30,7 @@ impl Editor {
is_editable: true,
run_on_visible: false,
content: None,
default_result: "AI is going to change the world!".to_string(),
}
}

Expand All@@ -44,10 +46,11 @@ impl Editor {
is_editable: false,
run_on_visible: false,
content: None,
default_result: "Unified RAG is...".to_string(),
}
}

pub fn new_custom(content: &str) -> Editor {
pub fn new_custom(content: &str, default_result: &str) -> Editor {
Editor {
show_model: false,
show_task: false,
Expand All@@ -59,9 +62,15 @@ impl Editor {
is_editable: true,
run_on_visible: false,
content: Some(content.to_owned()),
default_result: default_result.to_string(),
}
}

pub fn set_default_result(mut self, default_result: &str) -> Editor {
self.default_result = default_result.to_string();
self
}

pub fn set_show_model(mut self, show_model: bool) -> Self {
self.show_model = show_model;
self
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Original file line numberDiff line numberDiff line change
Expand Up@@ -113,7 +113,7 @@
<div class="d-flex flex-row position-relative pt-3 pb-3 ps-4 pe-4">
<div class="d-flex align-items-lg-center gap-lg-3 flex-fill flex-column flex-lg-row question-input">
<label class=""><strong class="text-uppercase text-white">Question:</strong></label>
<input type="text" class="form-control" placeholder="Ask a question about PGML" data-code-editor-editor-target="questionInput">
<input type="text" class="form-control" placeholder="Ask a question about PGML" data-code-editor-editor-target="questionInput" data-action="code-editor-editor#onQuestionChange">
</div>
<% if btn_location == "question-header" {%>
<div class="d-flex align-items-center">
Expand DownExpand Up@@ -156,7 +156,7 @@
</div>

<div id="editor-play-result-stream" data-code-editor-editor-target="resultStream">
AI is going to change the world!
<%= default_result %>
</div>

</div>
Expand Down
24 changes: 15 additions & 9 deletionspgml-dashboard/static/js/utilities/demo.js
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Original file line numberDiff line numberDiff line change
Expand Up@@ -4,7 +4,7 @@ export const generateSql = (task, model, userInput) => {
let extraTaskArgs = generateTaskArgs(task, model, "sql");

if (!userInput && task == "embedded-query") {
userInput ="What isPostgres?"
userInput ="What isUnified RAG?"
}

let argsOutput = "";
Expand All@@ -28,23 +28,29 @@ export const generateSql = (task, model, userInput) => {
);`;
} else if (task === "embedded-query") {
return `WITH embedded_query AS (
SELECT pgml.embed('mixedbread-ai/mxbai-embed-large-v1', 'What is Postgres?', '{"prompt": "Represent this sentence for searching relevant passages: "}'::JSONB)::vector embedding
SELECT pgml.embed(
'mixedbread-ai/mxbai-embed-large-v1',
'${userInput}',
'{"prompt": "Represent this sentence for searching relevant passages: "}'::JSONB
)::vector embedding
),
context_query AS (
SELECT chunks.chunk FROM chunks
INNER JOIN embeddings ON embeddings.chunk_id = chunks.id
ORDER BY embeddings.embedding <=> (SELECT embedding FROM embedded_query)
LIMIT 1
SELECT string_agg(chunk, '\n\n') as context FROM (
SELECT chunks.chunk FROM chunks
INNER JOIN embeddings ON embeddings.chunk_id = chunks.id
ORDER BY embeddings.embedding <=> (SELECT embedding FROM embedded_query)
LIMIT 5
) sub
)
SELECT
pgml.transform(
task => '{
"task": "conversational",
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct"
"model": "meta-llama/Meta-Llama-3.1-70B-Instruct"
}'::jsonb,
inputs => ARRAY['{"role": "system", "content": "You are afriendly and helpfulchatbot."}'::jsonb, jsonb_build_object('role', 'user', 'content', replace('Given the context answer the following question.${userInput}? Context:\n{CONTEXT}', '{CONTEXT}',chunk))],
inputs => ARRAY['{"role": "system", "content": "You are aquestion answeringchatbot. Answer the users question using the provided context."}'::jsonb, jsonb_build_object('role', 'user', 'content', replace('Question:\n\n${userInput}\n\nContext:\n\n{CONTEXT}', '{CONTEXT}',context))],
args => '{
"max_new_tokens":100
"max_new_tokens":512
}'::jsonb
)
FROM context_query;`
Expand Down
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