Document chunks not stored in vector store (#665)

- Schema - ChunkEmbeddings now uses chunk_id: str instead of chunk: bytes
- Schema - DocumentEmbeddingsResponse now returns chunk_ids: list[str]
  instead of chunks
- Translators - Updated to serialize/deserialize chunk_id
- Clients - DocumentEmbeddingsClient.query() returns chunk_ids
- SDK/API - flow.py, socket_client.py, bulk_client.py updated
- Document embeddings service - Stores chunk_id (document ID) instead
  of chunk text
- Storage writers - Qdrant, Milvus, Pinecone store chunk_id in payload
- Query services - Return chunk_id from vector store searches
- Gateway dispatchers - Serialize chunk_id in API responses
- Document RAG - Added librarian client to fetch chunk content from
  Garage using chunk_ids
- CLI tools - Updated all three tools:
  - invoke_document_embeddings.py - displays chunk_ids, removed
    max_chunk_length
  - save_doc_embeds.py - exports chunk_id
  - load_doc_embeds.py - imports chunk_id

trustgraph-cli/trustgraph/cli/save_doc_embeds.py

@@ -50,14 +50,14 @@ async def fetch_de(running, queue, user, collection, url):
                         "de",
                         {
                             "m": {
-                                "i": data["metadata"]["id"], 
+                                "i": data["metadata"]["id"],
                                 "m": data["metadata"]["metadata"],
                                 "u": data["metadata"]["user"],
                                 "c": data["metadata"]["collection"],
                             },
                             "c": [
                                 {
-                                    "c": chunk["chunk"],
+                                    "c": chunk["chunk_id"],
                                     "v": chunk["vectors"],
                                 }
                                 for chunk in data["chunks"]