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Dan rag update (#1549)
1 parent a5472c9 commit e5e7023

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5 files changed

+6
-4
lines changed

5 files changed

+6
-4
lines changed

pgml-dashboard/src/api/code_editor.rs

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@@ -22,7 +22,7 @@ fn get_readonly_pool() -> PgPool {
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.max_connections(1)
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.idle_timeout(std::time::Duration::from_millis(60_000))
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.max_lifetime(std::time::Duration::from_millis(60_000))
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.connect_lazy(&std::env::var("CHATBOT_DATABASE_URL").expect("CHATBOT_DATABASE_URL not set"))
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.connect_lazy(&std::env::var("EDITOR_DATABASE_URL").expect("EDITOR_DATABASE_URL not set"))
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.expect("could not build lazy database connection")
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})
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.clone()

pgml-dashboard/src/components/layouts/marketing/sections/three_column/card/template.html

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@@ -1,6 +1,6 @@
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<div data-controller="layouts-marketing-section-three-column-card" class="flex-1">
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<div class="d-flex flex-column align-items-center p-3 p-lg-4">
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<span class="material-symbols-outlined icon-<%- color %> image-top mb-4 text-white"><%- icon %></span>
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<span class="material-symbols-outlined icon-<%- color %> image-top mb-4 text-white d-flex justify-content-center align-items-center"><%- icon %></span>
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<h6 class="text-center"><%+ title %></h6>
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<p class="text-center"><%+ paragraph %></p>
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</div>

pgml-dashboard/src/components/star/star.scss

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@@ -34,6 +34,7 @@ div[data-controller="star"] {
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flex-wrap: wrap;
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text-align: center;
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font-size: 0.8rem;
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line-height: 1rem;
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}
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@-moz-keyframes spin { 100% { -moz-transform: rotate(360deg); } }

pgml-dashboard/static/css/modules.scss

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@@ -81,3 +81,4 @@
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@import "../../src/components/tables/serverless_models/serverless_models.scss";
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@import "../../src/components/tables/serverless_pricing/serverless_pricing.scss";
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@import "../../src/components/tables/small/table/table.scss";
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@import "../../src/components/turbo/turbo_frame/turbo_frame.scss";

pgml-dashboard/static/js/utilities/demo.js

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -28,7 +28,7 @@ export const generateSql = (task, model, userInput) => {
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);`;
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} else if (task === "embedded-query") {
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return `WITH embedded_query AS (
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SELECT pgml.embed ('Alibaba-NLP/gte-base-en-v1.5', '${userInput}')::vector embedding
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SELECT pgml.embed('mixedbread-ai/mxbai-embed-large-v1', 'What is Postgres?', '{"prompt": "Represent this sentence for searching relevant passages: "}'::JSONB)::vector embedding
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),
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context_query AS (
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SELECT chunks.chunk FROM chunks
@@ -42,7 +42,7 @@ SELECT
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"task": "conversational",
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"model": "meta-llama/Meta-Llama-3-8B-Instruct"
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}'::jsonb,
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inputs => ARRAY['{"role": "system", "content": "You are a friendly and helpful chatbot."}'::jsonb, replace('{"role": "user", "content": "Given the context answer the following question. ${userInput}? Context:\n\n{CONTEXT}"}', '{CONTEXT}', chunk)::jsonb],
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inputs => ARRAY['{"role": "system", "content": "You are a friendly and helpful chatbot."}'::jsonb, jsonb_build_object('role', 'user', 'content', replace('Given the context answer the following question. ${userInput}? Context:\n{CONTEXT}', '{CONTEXT}', chunk))],
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args => '{
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"max_new_tokens": 100
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}'::jsonb

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