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Add in a menu based rag example to use in docs.
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# Evaluating pdfQA with cat facts | ||
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## Build it | ||
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``` | ||
pnpm build | ||
``` | ||
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or if you need to, build everything: | ||
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``` | ||
cd ../../../; pnpm build; pnpm pack:all; cd - | ||
``` | ||
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## Run setup | ||
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This will add the GenkitGrubPub.pdf to your index | ||
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``` | ||
genkit flow:run setup | ||
``` | ||
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or add more pdfs to the index if you want: | ||
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``` | ||
genkit flow:run setup '["./path/to/your/file.pdf"]' | ||
``` | ||
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## Run the flow via cli | ||
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``` | ||
genkit flow:run menuQA '"What burgers are on the menu?"' | ||
``` | ||
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## Run the flow in the Developer UI | ||
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``` | ||
genkit start | ||
``` | ||
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Click on the menuQA flow in the lefthand navigation panel to playground the new flow. |
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{ | ||
"main": "lib/index.js", | ||
"scripts": { | ||
"start": "node lib/index.js", | ||
"compile": "tsc", | ||
"build": "pnpm build:clean && pnpm compile", | ||
"build:clean": "rm -rf ./lib", | ||
"build:watch": "tsc --watch", | ||
"build-and-run": "pnpm build && node lib/index.js" | ||
}, | ||
"name": "rag", | ||
"version": "1.0.0", | ||
"description": "", | ||
"keywords": [], | ||
"author": "", | ||
"license": "ISC", | ||
"dependencies": { | ||
"@genkit-ai/ai": "workspace:*", | ||
"@genkit-ai/core": "workspace:*", | ||
"@genkit-ai/dev-local-vectorstore": "workspace:*", | ||
"@genkit-ai/dotprompt": "workspace:*", | ||
"@genkit-ai/firebase": "workspace:*", | ||
"@genkit-ai/flow": "workspace:*", | ||
"@genkit-ai/vertexai": "workspace:*", | ||
"llm-chunk": "^0.0.1", | ||
"pdf-parse": "^1.1.1", | ||
"zod": "^3.22.4" | ||
}, | ||
"devDependencies": { | ||
"@types/pdf-parse": "^1.1.4", | ||
"typescript": "^5.3.3" | ||
} | ||
} |
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/** | ||
* Copyright 2024 Google LLC | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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import { configureGenkit } from '@genkit-ai/core'; | ||
import { devLocalVectorstore } from '@genkit-ai/dev-local-vectorstore'; | ||
import { defineFlow, runFlow } from '@genkit-ai/flow'; | ||
import { textEmbeddingGecko, vertexAI } from '@genkit-ai/vertexai'; | ||
import * as z from 'zod'; | ||
import { indexMenu } from './indexer'; | ||
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export default configureGenkit({ | ||
plugins: [ | ||
vertexAI(), | ||
devLocalVectorstore([ | ||
{ | ||
indexName: 'menuQA', | ||
embedder: textEmbeddingGecko, | ||
}, | ||
]), | ||
], | ||
enableTracingAndMetrics: true, | ||
flowStateStore: 'firebase', | ||
logLevel: 'debug', | ||
traceStore: 'firebase', | ||
}); | ||
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const menus = ['./docs/GenkitGrubPub.pdf']; | ||
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// genkit flow:run setup | ||
// genkit flow:run setup '[\"your_awesome_pdf.pdf\", \"your_other_awesome_pdf.pdf\""]' | ||
export const setup = defineFlow( | ||
{ | ||
name: 'setup', | ||
inputSchema: z.array(z.string()).optional(), | ||
}, | ||
async (documentArr?: string[]) => { | ||
if (!documentArr) { | ||
documentArr = menus; | ||
} else { | ||
documentArr.concat(menus); | ||
} | ||
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await Promise.all( | ||
documentArr.map(async (document) => { | ||
console.log(`Indexed ${document}`); | ||
return runFlow(indexMenu, document); | ||
}) | ||
); | ||
} | ||
); | ||
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export * from './indexer.js'; | ||
export * from './menuQA.js'; |
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/** | ||
* Copyright 2024 Google LLC | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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import { index } from '@genkit-ai/ai'; | ||
import { Document } from '@genkit-ai/ai/retriever'; | ||
import { devLocalIndexerRef } from '@genkit-ai/dev-local-vectorstore'; | ||
import { defineFlow, run } from '@genkit-ai/flow'; | ||
import { readFile } from 'fs/promises'; | ||
import { chunk } from 'llm-chunk'; | ||
import path from 'path'; | ||
import pdf from 'pdf-parse'; | ||
import * as z from 'zod'; | ||
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// Create a reference to the configured local indexer. | ||
export const menuPdfIndexer = devLocalIndexerRef('menuQA'); | ||
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// Create chunking config for indexing a pdf of a menu | ||
// See full options in https://www.npmjs.com/package/llm-chunk | ||
const chunkingConfig = { | ||
minLength: 1000, | ||
maxLength: 2000, | ||
splitter: 'sentence', | ||
overlap: 100, | ||
delimiters: '', | ||
} as any; | ||
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// Define a flow to index documents into the "vector store" | ||
// genkit flow:run indexMenu '"./docs/.pdf"' | ||
export const indexMenu = defineFlow( | ||
{ | ||
name: 'indexMenu', | ||
inputSchema: z.string().describe('PDF file path'), | ||
outputSchema: z.void(), | ||
}, | ||
async (filePath: string) => { | ||
filePath = path.resolve(filePath); | ||
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// Read the pdf. | ||
const pdfTxt = await run('extract-text', () => | ||
extractTextFromPdf(filePath) | ||
); | ||
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// Divide the pdf text into segments. | ||
const chunks = await run('chunk-it', async () => | ||
chunk(pdfTxt, chunkingConfig) | ||
); | ||
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// Convert chunks of text into documents to store in the index. | ||
const documents = chunks.map((text) => { | ||
return Document.fromText(text, { filePath }); | ||
}); | ||
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// Add documents to the index. | ||
await index({ | ||
indexer: menuPdfIndexer, | ||
documents, | ||
}); | ||
} | ||
); | ||
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async function extractTextFromPdf(filePath: string) { | ||
const pdfFile = path.resolve(filePath); | ||
const dataBuffer = await readFile(pdfFile); | ||
const data = await pdf(dataBuffer); | ||
return data.text; | ||
} |
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/** | ||
* Copyright 2024 Google LLC | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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import { generate } from '@genkit-ai/ai'; | ||
import { retrieve } from '@genkit-ai/ai/retriever'; | ||
import { devLocalRetrieverRef } from '@genkit-ai/dev-local-vectorstore'; | ||
import { defineFlow } from '@genkit-ai/flow'; | ||
import { geminiPro } from '@genkit-ai/vertexai'; | ||
import * as z from 'zod'; | ||
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// Define the retriever reference | ||
export const menuRetriever = devLocalRetrieverRef('menuQA'); | ||
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export const menuQAFlow = defineFlow( | ||
{ name: 'menuQA', inputSchema: z.string(), outputSchema: z.string() }, | ||
async (input: string) => { | ||
// retrieve relevant documents | ||
const docs = await retrieve({ | ||
retriever: menuRetriever, | ||
query: input, | ||
options: { k: 3 }, | ||
}); | ||
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// generate a response | ||
const llmResponse = await generate({ | ||
model: geminiPro, | ||
prompt: ` | ||
You are acting as a helpful AI assistant that can answer | ||
questions about the food available on the menu at Genkit Grub Pub. | ||
Use only the context provided to answer the question. | ||
If you don't know, do not make up an answer. | ||
Do not add or change items on the menu. | ||
Question: ${input} | ||
`, | ||
context: docs, | ||
}); | ||
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const output = llmResponse.text(); | ||
return output; | ||
} | ||
); |
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{ | ||
"compilerOptions": { | ||
"module": "NodeNext", | ||
"noImplicitReturns": true, | ||
"noUnusedLocals": false, | ||
"outDir": "lib", | ||
"sourceMap": true, | ||
"strict": true, | ||
"target": "es2017", | ||
"skipLibCheck": true, | ||
"esModuleInterop": true | ||
}, | ||
"compileOnSave": true, | ||
"include": ["src"] | ||
} |