Using Amazon Nova models in Elasticsearch

In this article, we will discuss Amazon's AI model family, Amazon Nova, and learn how to use it alongside Elasticsearch.

About Amazon Nova

Amazon Nova is a family of Amazon artificial intelligence models, available on Amazon Bedrock and designed to offer high performance and cost efficiency. These models operate with text, image and video inputs, generate textual outputs, and are optimized for different accuracy, speed and cost needs.

Amazon Nova main models

Amazon Nova Micro: Focused exclusively on text, this is a fast and cost-effective model, ideal for translation, reasoning, code completion and solving mathematical problems. Its generation exceeds 200 tokens per second, making it ideal for applications that require instant responses.
Amazon Nova Lite: A low-cost multimodal model capable of quickly processing images, videos and texts. It stands out for its speed and accuracy, being indicated for interactive and high-volume applications where cost is a relevant factor.
Amazon Nova Pro: The most advanced option, combining high accuracy, speed and cost efficiency. Ideal for complex tasks such as video summarization, questions and answers, software development and AI agents. Expert reviews attest to its excellence in textual and visual comprehension, as well as its ability to follow instructions and execute automated workflows.

Amazon Nova models are suitable for a variety of applications, from content creation and data analysis to software development and AI-powered process automation.

Below, we’ll demonstrate how to use Amazon Nova models in conjunction with Elasticsearch for automated product review analysis.

What we will do:

Create an endpoint via Inference API, integrating Amazon Bedrock with Elasticsearch.
Create a pipeline using the Inference Processor, which will make calls to the Inference API endpoint.
Index product reviews and automatically generate an analysis of the reviews using the pipeline.
Analyze the results of the integration.

Creating an Endpoint in the Inference API

First, we configure the Inference API to integrate Amazon Bedrock with Elasticsearch. We define Amazon Nova Lite, id amazon.nova-lite-v1:0, as the model to use since it offers a balance between speed, accuracy, and cost.

Note: You will need valid credentials to use Amazon Bedrock. You can see the documentation for obtaining access keys here:

PUT _inference/completion/bedrock_completion_amazon_nova-lite
{
   "service": "amazonbedrock",
   "service_settings": {
       "access_key": "#access_key#",
       "secret_key": "#secret_key#",
       "region": "us-east-1",
       "provider": "amazontitan",
       "model": "amazon.nova-lite-v1:0"
   }
}

Creating the review analysis pipeline

Now, we create a processing pipeline that will use the Inference Processor to execute a review analysis prompt. This prompt will send the review data to Amazon Nova Lite, which will perform:

Sentiment classification (positive, negative, or neutral).
Review summarization.
Keywords generation.
Authenticity measurement (authentic | suspicious | generic).

PUT /_ingest/pipeline/review_analyzer_ai
{
      "processors": [
      {
        "script": 
            {
            "source": """ctx.prompt = "Analyze the following product review and return a structured JSON. Task: - Summarize the review concisely. - Detect and classify the sentiment as positive, neutral, or negative.- Generate relevant tags (keywords) based on the review content and detected sentiment. - Evaluate the authenticity of the review (authentic, suspicious, or generic). Review: " + ctx.review + " Respond in JSON format with the following fields: \"review_analyze\": {\"sentiment\": \"<positive | neutral | negative>\", \"authenticity\": \"<authentic | suspicious | generic>\",\"summary\": \"<short review summary>\", \"keywords\": [\"<keyword 1>\", \"<keyword 2>\", \"...\"]}}}"
            """
            }
      },
      {
        "inference": {
          "model_id": "bedrock_completion_amazon_nova-lite",
          "input_output": {
            "input_field": "prompt",
            "output_field": "result"
          }
        }
      },
      {
        "gsub": {
          "field": "result",
          "pattern": "```json",
          "replacement": ""
        } 
      },
      {
        "json" : {
          "field" : "result",
          "strict_json_parsing": false,
          "add_to_root" : true
        }
      },
      {
        "remove": {
          "field": "result"
        }
      },
      {
        "remove": {
          "field": "prompt"
        }
      }
    ]
}

Indexing reviews

Now, we index product reviews using the Bulk API. The pipeline created earlier will be automatically applied, adding the analysis generated by the Nova model to the indexed documents.

POST bulk/
{ "index": { "_index" : "products", "_id": 1, "pipeline":"review_analyzer_ai" } }
{ "product": "Pampers Pants Premium Care Fralda", "review": "Best diaper ever! Great material, lots of cotton, without all that plastic. Doesn't leak! My baby is a boy and every diaper leaked around the waist, this model solved the problem. Even on a small baby it's worth the effort of putting on the short diaper. I put it on my baby at 9 pm and only take it off in the morning, without any leaks." }
{ "index": { "_index" : "products", "_id": 2, "pipeline":"review_analyzer_ai" } }
{ "product": "Portable Electric Body Massager", "review": "It broke in three months for no apparent reason, thank goodness I didn't review it before. I don't recommend buying it because it has a short lifespan." }
{ "index": { "_index" : "products", "_id": 3, "pipeline":"review_analyzer_ai" } }
{ "product": "Havit Fuxi-H3 Black Quad-Mode Wired and Wireless Gaming Headset", "review": "The sound is good for the price, but the connectivity is horrible. You always need to be playing audio, otherwise it loses connection (I work from home, and this is very annoying). Sometimes it loses connection and you have to turn it off and on again to get it back on. The microphone is very sensitive, so it loses connection frequently and you have to turn the headset off and on for the microphone to work again. The flexibility of the stem is useless, because if you move it, the microphone can turn off. Sometimes I need to use Linux and the headset simply doesn't work. It's light and comfortable, the sound is adequate, but the connectivity is terrible." }
{ "index": { "_index" : "products", "_id": 4, "pipeline":"review_analyzer_ai" } }
{ "product": "Air Fryer 4L Oil Free Fryer Mondial", "review": "For those looking for value for money, it's a good option, but the tray (which is underneath the perforated basket) is already peeling a lot. My mother has one just like it and said that hers is even rusting, in other words, the material is MUCH inferior. There's also something that bothers me, because it looks like a microwave, it doesn't fry evenly, it's weaker in the middle and stronger on the sides. Buy at your own risk." }

Querying and analyzing the results

Finally, we run a query to see how the Amazon Nova Lite model analyzes and classifies the reviews. By running GET products/_search, we get the documents already enriched with the fields generated from the review content.

The model identifies the predominant sentiment (positive, neutral, or negative), generates concise summaries, extracts relevant keywords, and estimates the authenticity of each review. These fields help understand the customer’s opinion without having to read the full text.

To interpret the results, we look at:

Sentiment, which indicates the consumer’s overall perception of the product.
The summary, which highlights the main points mentioned.
Keywords, which can be used to group similar reviews or identify feedback patterns.
Authenticity, which signals whether the review seems trustworthy. This is useful for curation or moderation.

   "hits": [
      {
        "_index": "products",
        "_id": "1",
        "_score": 1,
        "_ignored": [
          "review.keyword"
        ],
        "_source": {
          "product": "Pampers Pants Premium Care Fralda",
          "model_id": "bedrock_completion_amazon_nova-lite",
          "review_analyze": {
            "summary": "The reviewer praises the diaper for its great material, high cotton content, and leak-proof design, especially highlighting its effectiveness for their baby.",
            "sentiment": "positive",
            "keywords": [
              "best diaper",
              "great material",
              "cotton",
              "no plastic",
              "leak-proof",
              "baby",
              "effective"
            ],
            "authenticity": "authentic"
          },
          "review": "Best diaper ever! Great material, lots of cotton, without all that plastic. Doesn't leak! My baby is a boy and every diaper leaked around the waist, this model solved the problem. Even on a small baby it's worth the effort of putting on the short diaper. I put it on my baby at 9 pm and only take it off in the morning, without any leaks."
        }
      },
      {
        "_index": "products",
        "_id": "2",
        "_score": 1,
        "_source": {
          "product": "Portable Electric Body Massager",
          "model_id": "bedrock_completion_amazon_nova-lite",
          "review_analyze": {
            "summary": "The product broke in three months for no apparent reason and the reviewer does not recommend it due to its short lifespan.",
            "sentiment": "negative",
            "keywords": [
              "broke",
              "short lifespan",
              "not recommend"
            ],
            "authenticity": "authentic"
          },
          "review": "It broke in three months for no apparent reason, thank goodness I didn't review it before. I don't recommend buying it because it has a short lifespan."
        }
      },
      {
        "_index": "products",
        "_id": "3",
        "_score": 1,
        "_ignored": [
          "review.keyword"
        ],
        "_source": {
          "product": "Havit Fuxi-H3 Black Quad-Mode Wired and Wireless Gaming Headset",
          "model_id": "bedrock_completion_amazon_nova-lite",
          "review_analyze": {
            "summary": "The headset has good sound quality for the price but suffers from poor connectivity, especially when using the microphone or moving the headset. It also has compatibility issues with Linux.",
            "sentiment": "negative",
            "keywords": [
              "sound",
              "connectivity",
              "microphone",
              "compatibility",
              "annoying",
              "turn off and on",
              "Linux",
              "flexible stem",
              "work from home"
            ],
            "authenticity": "authentic"
          },
          "review": "The sound is good for the price, but the connectivity is horrible. You always need to be playing audio, otherwise it loses connection (I work from home, and this is very annoying). Sometimes it loses connection and you have to turn it off and on again to get it back on. The microphone is very sensitive, so it loses connection frequently and you have to turn the headset off and on for the microphone to work again. The flexibility of the stem is useless, because if you move it, the microphone can turn off. Sometimes I need to use Linux and the headset simply doesn't work. It's light and comfortable, the sound is adequate, but the connectivity is terrible."
        }
      },
      {
        "_index": "products",
        "_id": "4",
        "_score": 1,
        "_ignored": [
          "review.keyword"
        ],
        "_source": {
          "product": "Air Fryer 4L Oil Free Fryer Mondial",
          "model_id": "bedrock_completion_amazon_nova-lite",
          "review_analyze": {
            "summary": "The product offers value for money but has issues with peeling, rusting, and uneven frying.",
            "sentiment": "negative",
            "keywords": [
              "value for money",
              "peeling",
              "rusting",
              "uneven frying",
              "weaker in the middle"
            ],
            "authenticity": "authentic"
          },
          "review": "For those looking for value for money, it's a good option, but the tray (which is underneath the perforated basket) is already peeling a lot. My mother has one just like it and said that hers is even rusting, in other words, the material is MUCH inferior. There's also something that bothers me, because it looks like a microwave, it doesn't fry evenly, it's weaker in the middle and stronger on the sides. Buy at your own risk."
        }
      }
    ]

Final Thoughts

The integration between Amazon Nova Lite and Elasticsearch demonstrated how language models can transform raw reviews into structured and valuable information. By processing the reviews through a pipeline, we were able to extract sentiment, authenticity, summaries, and keywords automatically and consistently.

The results show that the model can understand the context of the reviews, classify user opinions, and highlight the most relevant points of each experience. This creates a much richer dataset that can be leveraged to improve search capabilities.

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