Add comprehensive documentation for employee learning platform

- Created handover document outlining design decisions and application functionality.
- Developed implementation plan detailing phased approach for service development.
- Specified ingestion service responsibilities, API surface, and processing pipeline.

app/services/ingestion/src/lib/anthropic.ts

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+import Anthropic from '@anthropic-ai/sdk';
+
+export const anthropic = new Anthropic({
+  apiKey: process.env['ANTHROPIC_API_KEY'],
+});
+
+export const MODELS = {
+  SONNET: 'claude-sonnet-4-20250514',
+} as const;

app/services/ingestion/src/lib/openai.ts

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+import OpenAI from 'openai';
+
+export const openai = new OpenAI({
+  apiKey: process.env['OPENAI_API_KEY'],
+});
+
+export const EMBEDDING_MODEL = 'text-embedding-3-small';
+export const EMBEDDING_DIMENSIONS = 1536;
+export const EMBEDDING_BATCH_SIZE = 100;

app/services/ingestion/src/lib/pocketbase.ts

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+import PocketBase from 'pocketbase';
+
+const POCKETBASE_URL = process.env['POCKETBASE_URL'] ?? '';
+const POCKETBASE_ADMIN_EMAIL = process.env['POCKETBASE_ADMIN_EMAIL'] ?? '';
+const POCKETBASE_ADMIN_PASSWORD = process.env['POCKETBASE_ADMIN_PASSWORD'] ?? '';
+
+const pb = new PocketBase(POCKETBASE_URL);
+
+export async function getPocketBase(): Promise<PocketBase> {
+  if (!pb.authStore.isValid) {
+    await pb.admins.authWithPassword(POCKETBASE_ADMIN_EMAIL, POCKETBASE_ADMIN_PASSWORD);
+  }
+  return pb;
+}

app/services/ingestion/src/lib/qdrant.ts

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+import { QdrantClient } from '@qdrant/js-client-rest';
+
+const QDRANT_URL = process.env['QDRANT_URL'] ?? '';
+const QDRANT_API_KEY = process.env['QDRANT_API_KEY'] ?? '';
+
+export const qdrant = new QdrantClient({
+  url: QDRANT_URL,
+  ...(QDRANT_API_KEY ? { apiKey: QDRANT_API_KEY } : {}),
+});
+
+export const QDRANT_COLLECTIONS = {
+  SOURCE_CHUNKS: 'source_chunks',
+  TOPIC_SUMMARIES: 'topic_summaries',
+} as const;