Spring Ai In Action Pdf Github [extra Quality] Guide

@Service public class PdfDocumentService public List<Document> parsePdfs(List<byte[]> pdfBytesList) return pdfBytesList.stream() .flatMap(bytes -> ByteArrayInputStream bais = new ByteArrayInputStream(bytes); TikaDocumentReader reader = new TikaDocumentReader(bais); return reader.get().stream(); // Returns List<Document> ) .collect(Collectors.toList());

@RestController public class ChatController private final ChatClient chatClient; private final VectorStore vectorStore; @GetMapping("/ask") public String askAboutGitHubPdfs(@RequestParam String question) // Retrieve relevant PDF chunks List<Document> relevantDocs = vectorStore.similaritySearch(question); // Create system prompt with context String context = relevantDocs.stream() .map(Document::getText) .collect(Collectors.joining("\n---\n")); return chatClient.call(new Prompt( List.of(new SystemMessage("Answer based only on: " + context), new UserMessage(question)) )).getResult().getOutput().getText(); spring ai in action pdf github

This is an excellent topic, as it sits at the intersection of a popular framework (Spring AI), a specific resource format (PDF), and a vital developer platform (GitHub). @Service public class PdfDocumentService public List&lt

@Service public class IngestionPipeline private final TokenTextSplitter splitter = new TokenTextSplitter(500, 100); // 500 tokens per chunk private final VectorStore vectorStore; private final EmbeddingClient embeddingClient; @Autowired public IngestionPipeline(VectorStore vectorStore, EmbeddingClient embeddingClient) this.vectorStore = vectorStore; this.embeddingClient = embeddingClient; ByteArrayInputStream bais = new ByteArrayInputStream(bytes)