Baseline streaming and functions

src/lib/utilities/context.ts

@@ -1,36 +0,0 @@
-// import { ScoredVector } from '@pinecone-database/pinecone';
-// import { getEmbeddings } from './embeddings';
-// import { getMatchesFromEmbeddings } from './pinecone';
-
-// export type Metadata = {
-// 	url: string;
-// 	text: string;
-// 	chunk: string;
-// };
-
-// // The function `getContext` is used to retrieve the context of a given message
-// export const getContext = async (
-// 	message: string,
-// 	namespace: string,
-// 	maxTokens = 3000,
-// 	minScore = 0.7,
-// 	getOnlyText = true
-// ): Promise<string | ScoredVector[]> => {
-// 	// Get the embeddings of the input message
-// 	const embedding = await getEmbeddings(message);
-
-// 	// Retrieve the matches for the embeddings from the specified namespace
-// 	const matches = await getMatchesFromEmbeddings(embedding, 3, namespace);
-
-// 	// Filter out the matches that have a score lower than the minimum score
-// 	const qualifyingDocs = matches.filter((m) => m.score && m.score > minScore);
-
-// 	if (!getOnlyText) {
-// 		// Use a map to deduplicate matches by URL
-// 		return qualifyingDocs;
-// 	}
-
-// 	let docs = matches ? qualifyingDocs.map((match) => (match.metadata as Metadata).chunk) : [];
-// 	// Join all the chunks of text together, truncate to the maximum number of tokens, and return the result
-// 	return docs.join('\n').substring(0, maxTokens);
-// };