Properties files 
 spring.ai.openai.api-key=<YOUR API KEY HERE>
 spring.neo4j.uri=<NEO4J URI HERE>
 spring.neo4j.authentication.username=<NEO4J USERNAME HERE>
 spring.neo4j.authentication.password=<NEO4J PASSWORD HERE>
 spring.data.neo4j.database=<NEO4J DATABASE NAME HERE>

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Java 
 @Bean
 public EmbeddingClient embeddingClient() {
 return new OpenAiEmbeddingClient(new OpenAiApi(System.getenv("SPRING_AI_OPENAI_API_KEY")));
 }

 @Bean
 public Neo4jVectorStore vectorStore(Driver driver, EmbeddingClient embeddingClient) {
 return new Neo4jVectorStore(driver, embeddingClient,
 Neo4jVectorStore.Neo4jVectorStoreConfig.builder()
 .withLabel("Review")
 .withIndexName("review-embedding-index")
 .build());
 }

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Java 
 public interface BookRepository extends Neo4jRepository<Book, String> {
 }

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Java 
 @RestController
 @RequestMapping("/")
 public class BookController {
 private final OpenAiChatClient client;
 private final Neo4jVectorStore vectorStore;
 private final BookRepository repo;

 String prompt = """
 You are a book expert with high-quality book information in the CONTEXT section.
 Answer with every book title provided in the CONTEXT.
 Do not add extra information from any outside sources.
 If you are unsure about a book, list the book and add that you are unsure.

 CONTEXT：
 {context}

 PHRASE：
 {searchPhrase}
 """;

 public BookController(OpenAiChatClient client, Neo4jVectorStore vectorStore, BookRepository repo) {
 this.client = client;
 this.vectorStore = vectorStore;
 this.repo = repo;
 }

 //Retrieval Augmented Generation with Neo4j - vector search + retrieval query for related context
 @GetMapping("/rag")
 public String generateResponseWithContext(@RequestParam String searchPhrase) {
 List<Document> results = vectorStore.similaritySearch(SearchRequest.query(searchPhrase).withTopK(5).withSimilarityThreshold(0.8));
 //more code shortly!
 }
 }

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Java 
 @Override
 public List<Document> similaritySearch(SearchRequest request) {
 Assert.isTrue(request.getTopK() > 0, "The number of documents to returned must be greater than zero");
 Assert.isTrue(request.getSimilarityThreshold() >= 0 && request.getSimilarityThreshold() <= 1,
 "The similarity score is bounded between 0 and 1; least to most similar respectively.");

 var embedding = Values.value(toFloatArray(this.embeddingClient.embed(request.getQuery())));

 try (var session = this.driver.session(this.config.sessionConfig)) {
 StringBuilder condition = new StringBuilder("score >= $threshold");
 
 if (request.hasFilterExpression()) {
 condition.append(" AND ")
 .append(this.filterExpressionConverter.convertExpression(request.getFilterExpression()));
 }

 String query = """
 CALL db.index.vector.queryNodes($indexName, $numberOfNearestNeighbours, $embeddingValue)
 YIELD node, score
 WHERE %s
 RETURN node, score""".formatted(condition);
 
 return session
 .run(query,
 Map.of("indexName", this.config.indexName, "numberOfNearestNeighbours", request.getTopK(),
 "embeddingValue", embedding, "threshold", request.getSimilarityThreshold()))
 .list(Neo4jVectorStore：：recordToDocument);
 }
 }

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Java 
 private Map<String, Object> documentToRecord(Document document) {
 var embedding = this.embeddingClient.embed(document);
 document.setEmbedding(embedding);

 var row = new HashMap<String, Object>();
 row.put("id", document.getId());

 var properties = new HashMap<String, Object>();
 properties.put("text", document.getContent());

 document.getMetadata().forEach((k, v) -> properties.put("metadata." + k, Values.value(v)));
 row.put("properties", properties);
 row.put(this.config.embeddingProperty, Values.value(toFloatArray(embedding)));

 return row;
 }

 private static Document recordToDocument(org.neo4j.driver.Record neoRecord) {
 var node = neoRecord.get("node").asNode();
 var score = neoRecord.get("score").asFloat();
 var metaData = new HashMap<String, Object>();

 metaData.put("distance", 1 - score);

 node.keys().forEach(key -> {
 if (key.startsWith("metadata.")) {
 metaData.put(key.substring(key.indexOf(".") + 1), node.get(key).asObject());
 }
 });

 return new Document(node.get("id").asString(), node.get("text").asString(), Map.copyOf(metaData));
 }

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Java 
 public interface BookRepository extends Neo4jRepository<Book, String> {
 @Query("MATCH (b：Book)<-[rel：WRITTEN_FOR]-(r：Review) " +
 "WHERE r.id IN $reviewIds " +
 "AND r.text <> 'RTC' " +
 "RETURN b, collect(rel), collect(r);")
 List<Book> findBooks(List<String> reviewIds);

}

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Java 
 //Retrieval Augmented Generation with Neo4j - vector search + retrieval query for related context
 @GetMapping("/rag")
 public String generateResponseWithContext(@RequestParam String searchPhrase) {
 List<Document> results = vectorStore.similaritySearch(SearchRequest.query(searchPhrase).withTopK(5).withSimilarityThreshold(0.8));
 List<Book> bookList = repo.findBooks(results.stream().map(Document：：getId).collect(Collectors.toList()));

 var template = new PromptTemplate(prompt, Map.of("context", bookList.stream().map(b -> b.toString()).collect(Collectors.joining("\n")), "searchPhrase", searchPhrase));
 System.out.println("----- PROMPT -----");
 System.out.println(template.render());

 return client.call(template.create().getContents());
 }

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Shell 
 http "：8080/rag?searchPhrase=happy%20ending"
 http "：8080/rag?searchPhrase=encouragement"
 http "：8080/rag?searchPhrase=high%tech"

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Shell 
 jenniferreif@elf-lord springai-goodreads % http "：8080/rag?searchPhrase=encouragement"

 The Cross and the Switchblade
 The Art of Recklessness： Poetry as Assertive Force and Contradiction
 I am unsure about 90 Minutes in Heaven： A True Story of Death and Life
 The Greatest Gift： The Original Story That Inspired the Christmas Classic It's a Wonderful Life
 I am unsure about Aligned： Volume 1 (Aligned, #1)

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Shell 
 ----- PROMPT -----
 You are a book expert with high-quality book information in the CONTEXT section.
 Answer with every book title provided in the CONTEXT.
 Do not add extra information from any outside sources.
 If you are unsure about a book, list the book and add that you are unsure.

 CONTEXT：
 Book[book_id=772852, title=The Cross and the Switchblade, isbn=0515090255, isbn13=9780515090253, reviewList=[Review[id=f70c68721a0654462bcc6cd68e3259bd, text=encouraging, rating=4]]]
 Book[book_id=89375, title=90 Minutes in Heaven： A True Story of Death and Life, isbn=0800759494, isbn13=9780800759490, reviewList=[Review[id=85ef80e09c64ebd013aeebdb7292eda9, text=inspiring & hope filled, rating=5]]]
 Book[book_id=1488663, title=The Greatest Gift： The Original Story That Inspired the Christmas Classic It's a Wonderful Life, isbn=0670862045, isbn13=9780670862047, reviewList=[Review[id=b74851666f2ec1841ca5876d977da872, text=Inspiring, rating=4]]]
 Book[book_id=7517330, title=The Art of Recklessness： Poetry as Assertive Force and Contradiction, isbn=1555975623, isbn13=9781555975623, reviewList=[Review[id=2df3600d488e182a3ef06bff7fc82eb8, text=Great insight, great encouragement, and great company., rating=4]]]
 Book[book_id=27802572, title=Aligned： Volume 1 (Aligned, #1), isbn=1519114796, isbn13=9781519114792, reviewList=[Review[id=60b9aa083733e751ddd471fa1a77535b, text=healing, rating=3]]]

 PHRASE：
 encouragement

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