Legacy Pipeline Operations

// Text
await c.add({ type: "text", text: "…" }, "my-dataset");

// File
await c.add({ type: "file", path: "/abs/path/to/doc.txt" }, "my-dataset");

// URL
await c.add({ type: "url", url: "https://example.com/article" }, "my-dataset");

// Binary (name is required for MIME detection)
await c.add({ type: "binary", bytes: buffer, name: "report.pdf" }, "my-dataset");

// Multiple items at once
await c.add([
  { type: "text", text: "First document" },
  { type: "file", path: "/abs/path/two.txt" },
], "my-dataset");

await c.cognify("my-dataset");

// With options
await c.cognify("my-dataset", {
  chunkSize: 512,
  summarization: true,
  triplet: true,       // also index triplet embeddings (enables TRIPLET_COMPLETION search)
});

const { add, cognify } = await c.addAndCognify(
  { type: "text", text: "…" },
  "my-dataset"
);

const result = await c.search("What is the capital of France?");

// With options
const result = await c.search("summarise recent events", {
  searchType: "SUMMARIES",
  topK: 5,
  datasets: ["news"],
});

await c.memify();