`export const llamaPipeline = async(

export const llamaPipeline = async(content) =>{
  
    let OpenEmbedllm = new OpenAIEmbedding({
      temperature: 0,
             
      apiKey: process.env.OPENAI_SECRET_KEY,
        model:'text-embedding-3-small',
          apiVersion:"2023-07-01-preview",
    
    
    
    })
try{
  const resFromAnalyze = await client.query(

SELECT overlap,chunk_size
FROM public.${process.env.PG_DB_PREFIX}_prompts;

)
     let pipeline = new IngestionPipeline({transformations:[
      // new RemoveSpecialCharacters(),
      new SimpleNodeParser({ chunkOverlap:200,
        chunkSize:20}),
        new KeywordExtractor({llm:azureOpenAillm}),
        OpenEmbedllm
     ]})
     const nodes = await pipeline.run({documents:[new Document({text:content})]})
     console.log(nodes)
      return nodes
  
    }catch(err){
      console.log(err)
  
    }
  }

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`export const llamaPipeline = async(