JS/TS Quickstart

npm install vectorview

import Vectorview from "vectorview";
const vv = new Vectorview(key)
vv.event(query, docsWithScore)

import { FaissStore } from "langchain/vectorstores/faiss";
import { OpenAIEmbeddings } from "langchain/embeddings/openai";
import { TokenTextSplitter } from "langchain/text_splitter";
import Vectorview from "vectorview";

// Setup
const vv = new Vectorview(key);

//  Do semantic search
const text = await fs.readFile('./text.txt', 'utf8'); 
const splitter = new TokenTextSplitter({ 
  chunkSize: 40, 
  chunkOverlap: 0,
});
const docs = await splitter.createDocuments([text]);
const vectorStore = await FaissStore.fromDocuments(docs, new OpenAIEmbeddings()); 

const query = "What did the president say about Ketanji Brown Jackson";
const docsWithScore = await vectorStore.similaritySearchWithScore(query, 3);

// Log vv event
vv.event(query, docsWithScore)

vv.event(query, docsWithScore, {"foo": "bar"})

docsWithScore[0][0].metadata = {"foo": "bar"}
vv.event(query, docsWithScore)

docsWithScore[0][0].metadata = {"id": new_id}
vv.event(query, docsWithScore)