Working example with docker-compose

Still need quite a bit of clean-up, but this adds a working docker-compose + Dockerfile setup

docker_sample_config.yml

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+content-type:
+  org:
+    input-files: null
+    input-filter: "/data/notes/*.org"
+    compressed-jsonl: "/data/generated/.notes.json.gz"
+    embeddings-file: "/data/generated/.note_embeddings.pt"
+
+  ledger:
+    # input-files: null
+    # input-filter: /data/ledger/*.beancount
+    # compressed-jsonl: /data/generated/.transactions.jsonl.gz
+    # embeddings-file: /data/generated/.transaction_embeddings.pt
+
+  image:
+    # input-directory: "/data/images/"
+    # embeddings-file: "/data/generated/.image_embeddings.pt"
+    # batch-size: 50
+    # use-xmp-metadata: "no"
+
+  music:
+    # input-files: null
+    # input-filter: "/data/music/*.org"
+    # compressed-jsonl: "/data/generated/.songs.jsonl.gz"
+    # embeddings-file: "/data/generated/.song_embeddings.pt"
+
+search-type:
+  symmetric:
+    encoder: "sentence-transformers/paraphrase-MiniLM-L6-v2"
+    cross-encoder: "cross-encoder/ms-marco-MiniLM-L-6-v2"
+    model_directory: "/data/models/.symmetric"
+
+  asymmetric:
+    encoder: "sentence-transformers/msmarco-MiniLM-L-6-v3"
+    cross-encoder: "cross-encoder/ms-marco-MiniLM-L-6-v2"
+    model_directory: "/data/models/.asymmetric"
+
+  image:
+    encoder: "clip-ViT-B-32"
+    model_directory: "/data/models/.image_encoder"
+
+processor:
+  conversation:
+    openai-api-key: null
+    conversation-logfile: "/data/conversation/.conversation_logs.json"