Java

// Connect to a local Weaviate instanceclient = WeaviateClient.connectToLocal();if (client.collections.exists(collectionName)) {  client.collections.delete(collectionName);}// Create a collection withclient.collections.create(    collectionName,    col -> col.properties(Property.text("answer"),        Property.text("question"),        Property.text("category"))        .vectorConfig(VectorConfig.text2vecOllama(v -> v            // If using Docker you might need: http://host.docker.internal:11434            .apiEndpoint("http://ollama:11434")            .model("nomic-embed-text") // The model to use        )) // Configure the Ollama embedding model);CollectionHandle<Map<String, Object>> questions = client.collections.use(collectionName);HttpClient httpClient = HttpClient.newHttpClient();HttpRequest request = HttpRequest.newBuilder()    .uri(URI        .create("https://raw.githubusercontent.com/weaviate-tutorials/quickstart/main/data/jeopardy_tiny.json"))    .build();HttpResponse<String> responseHttp = httpClient.send(request, HttpResponse.BodyHandlers.ofString());String responseBody = responseHttp.body();ObjectMapper objectMapper = new ObjectMapper();List<Map<String, String>> data = objectMapper.readValue(responseBody, new TypeReference<>() {});// Create a list to hold the objects for insertionList<Map<String, Object>> questionsToInsert = new ArrayList<>();// Populate the list with the datafor (Map<String, String> d : data) {  Map<String, Object> properties = new HashMap<>();  properties.put("answer", d.get("Answer"));  properties.put("question", d.get("Question"));  properties.put("category", d.get("Category"));  questionsToInsert.add(properties);}// Call insertMany with the list of objectsInsertManyResponse insertResponse = questions.data.insertMany(questionsToInsert.toArray(new Map[0]));// Check for errorsif (!insertResponse.errors().isEmpty()) {  System.err.println("Errors during insertMany: " + insertResponse.errors());}