Comments (1)
π€
Hello @Mullet-bsd! It's good to see you back. I hope you've been doing well.
To change the source output, you would need to modify the API endpoint '/api/chat' to return the desired output. This could involve changing the logic in the server-side code that handles this endpoint, or changing the endpoint itself to point to a different server-side function or external API.
The '/api/chat' endpoint is currently pointing to the server-side function named 'handler'. This function processes the request, checks if it's a POST request, and if a question is included in the request. It then sanitizes the question, creates a vector store from an existing index, retrieves documents, creates a chain, and invokes the chain with the sanitized question and chat history. The response is then sent back to the client.
Here is the function:
export default async function handler(
req: NextApiRequest,
res: NextApiResponse,
) {
const { question, history } = req.body;
//only accept post requests
if (req.method !== 'POST') {
res.status(405).json({ error: 'Method not allowed' });
return;
}
if (!question) {
return res.status(400).json({ message: 'No question in the request' });
}
// OpenAI recommends replacing newlines with spaces for best results
const sanitizedQuestion = question.trim().replaceAll('\n', ' ');
try {
const index = pinecone.Index(PINECONE_INDEX_NAME);
/* create vectorstore*/
const vectorStore = await PineconeStore.fromExistingIndex(
new OpenAIEmbeddings({}),
{
pineconeIndex: index,
textKey: 'text',
namespace: PINECONE_NAME_SPACE, //namespace comes from your config folder
},
);
// Use a callback to get intermediate sources from the middle of the chain
let resolveWithDocuments: (value: Document[]) => void;
const documentPromise = new Promise<Document[]>((resolve) => {
resolveWithDocuments = resolve;
});
const retriever = vectorStore.asRetriever({
callbacks: [
{
handleRetrieverEnd(documents) {
resolveWithDocuments(documents);
},
},
],
});
//create chain
const chain = makeChain(retriever);
const pastMessages = history
.map((message: [string, string]) => {
return [`Human: ${message[0]}`, `Assistant: ${message[1]}`].join('\n');
})
.join('\n');
//Ask a question using chat history
const response = await chain.invoke({
question: sanitizedQuestion,
chat_history: pastMessages,
});
const sourceDocuments = await documentPromise;
res.status(200).json({ text: response, sourceDocuments });
} catch (error: any) {
res.status(500).json({ error: error.message || 'Something went wrong' });
}
}
This function does not directly point to an external API but uses the 'pinecone' and 'OpenAIEmbeddings' libraries to create a vector store and retrieve documents. You can find this function in the pages/api/chat.ts file.
If you want to change how the source output is displayed in the chat interface, you would need to modify the code in the return
statement of the Home
function. This is where the chat interface is rendered, and it uses the state variables messages
and sourceDocs
to display the chat messages and source documents. You can find this function in the pages/index.tsx file.
I hope this helps! If you have any other questions, feel free to ask.
Sources
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a π if this is helpful and π if it is irrelevant.
If you want to continue the conversation, start your reply with @dosu-bot.
from gpt4-pdf-chatbot-langchain.
Related Issues (20)
- Conversion of code into Python HOT 2
- PineconeError: Error, message length too large: found 5453452 bytes, the limit is: 4194304 bytes HOT 6
- How to include more than 4 results from Pinecone? HOT 3
- How to change the BaseUrl if I use a proxy HOT 1
- Can ChatGPT 3.5 be supportedοΌ HOT 6
- Text words overlay display HOT 1
- Does this project accepts image read from PDF? HOT 5
- Enhancement - ability to use a graph database such as neo4j instead of vector database HOT 1
- enhancement - integrate with llamaindex HOT 3
- Explain data ingestion code. HOT 4
- s HOT 1
- "TypeError: Cannot read properties of undefined (reading 'text')" HOT 1
- error TypeError: ids is not iterable HOT 1
- Add support for Pinecone Serverless HOT 8
- Error: Azure OpenAI API instance name not found HOT 3
- FetchError: request to https://api.openai.com/v1/embeddings failed HOT 1
- run "yarn run ingest" Japanese punctuation marks were converted to Korean HOT 1
- I get this error when I open my local server: Cannot read properties of undefined (reading 'text') HOT 14
- error PineconeConnectionError HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. πππ
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google β€οΈ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from gpt4-pdf-chatbot-langchain.