diff --git a/.claude/settings.local.json b/.claude/settings.local.json
new file mode 100644
index 0000000..cb4db28
--- /dev/null
+++ b/.claude/settings.local.json
@@ -0,0 +1,7 @@
+{
+  "permissions": {
+    "allow": [
+      "Bash(git -C \"f:/ADriveStuff/Generate/remetra\" diff HEAD -- backend/services/pdfconvert.py)"
+    ]
+  }
+}
diff --git a/backend/data/raw/AIP Avoids.pdf b/backend/data/raw/AIP Avoids.pdf
new file mode 100644
index 0000000..05e4b23
Binary files /dev/null and b/backend/data/raw/AIP Avoids.pdf differ
diff --git a/backend/data/raw/AIP Foods List.pdf b/backend/data/raw/AIP Foods List.pdf
new file mode 100644
index 0000000..da7973d
Binary files /dev/null and b/backend/data/raw/AIP Foods List.pdf differ
diff --git a/backend/data/raw/FDA 9 Examples.pdf b/backend/data/raw/FDA 9 Examples.pdf
new file mode 100644
index 0000000..d0f2155
Binary files /dev/null and b/backend/data/raw/FDA 9 Examples.pdf differ
diff --git a/backend/data/raw/Histamine Chart.pdf b/backend/data/raw/Histamine Chart.pdf
new file mode 100644
index 0000000..3d87ef3
Binary files /dev/null and b/backend/data/raw/Histamine Chart.pdf differ
diff --git a/backend/data/raw/Low and High FODMAP Chart.pdf b/backend/data/raw/Low and High FODMAP Chart.pdf
new file mode 100644
index 0000000..cbefef0
Binary files /dev/null and b/backend/data/raw/Low and High FODMAP Chart.pdf differ
diff --git a/backend/data/raw/NHS Low FODMAP Diet.pdf b/backend/data/raw/NHS Low FODMAP Diet.pdf
new file mode 100644
index 0000000..6b8850e
Binary files /dev/null and b/backend/data/raw/NHS Low FODMAP Diet.pdf differ
diff --git a/backend/data/raw/PMC food intolerances.pdf b/backend/data/raw/PMC food intolerances.pdf
new file mode 100644
index 0000000..cd419ac
Binary files /dev/null and b/backend/data/raw/PMC food intolerances.pdf differ
diff --git a/backend/models/food_log.py b/backend/models/food_log.py
index 0c38a0c..7667e00 100644
--- a/backend/models/food_log.py
+++ b/backend/models/food_log.py
@@ -24,3 +24,4 @@ class FoodLog(Base):
     created_at = Column(DateTime(timezone=True), server_default=func.now())
 
     food = relationship("Food", back_populates="food_logs")
+    food_log_tags = relationship("FoodLogTag", back_populates="food_log")
diff --git a/backend/models/tag.py b/backend/models/tag.py
index ede2b41..a7e53af 100644
--- a/backend/models/tag.py
+++ b/backend/models/tag.py
@@ -17,9 +17,11 @@ class Tag(Base):
     name = Column(String, unique=True, nullable=False)
     description = Column(String, nullable=True)
     is_system = Column(Boolean, nullable=False, default=False)
+    llm_suggested = Column(Boolean, nullable=False, default=False)
     created_at = Column(DateTime(timezone=True), server_default=func.now())
 
     food_tags = relationship("FoodTag", back_populates="tag")
+    food_log_tags = relationship("FoodLogTag", back_populates="tag")
 
 
 class FoodTag(Base):
@@ -36,3 +38,17 @@ class FoodTag(Base):
     tag = relationship("Tag", back_populates="food_tags")
 
     __table_args__ = (UniqueConstraint("food_id", "tag_id"),)
+
+
+class FoodLogTag(Base):
+    """Join table linking food logs to tags."""
+
+    __tablename__ = "food_log_tags"
+
+    id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    food_log_id = Column(UUID(as_uuid=True), ForeignKey("food_logs.id", ondelete="CASCADE"), nullable=False)
+    tag_id = Column(UUID(as_uuid=True), ForeignKey("tags.id", ondelete="CASCADE"), nullable=False)
+    created_at = Column(DateTime(timezone=True), server_default=func.now())
+
+    tag = relationship("Tag", back_populates="food_log_tags")
+    food_log = relationship("FoodLog", back_populates="food_log_tags")
diff --git a/backend/pyproject.toml b/backend/pyproject.toml
index 047e443..7b138ac 100644
--- a/backend/pyproject.toml
+++ b/backend/pyproject.toml
@@ -21,10 +21,11 @@ dependencies = [
     "scipy>=1.17.1",
     "sqlalchemy>=2.0.46",
     "uvicorn[standard]>=0.40.0",
-    "google-generativeai>=0.8.0",
+    "google-genai>=1.0.0",
     "torch",
     "sentence-transformers>=5.3.0",
     "pypdf>=6.9.2",
+    "semantic-text-splitter>=0.29.0",
 ]
 
 [tool.uv.sources]
diff --git a/backend/schemas/tag.py b/backend/schemas/tag.py
index 799692f..fbce986 100644
--- a/backend/schemas/tag.py
+++ b/backend/schemas/tag.py
@@ -13,6 +13,7 @@ class TagBase(BaseModel):
     name: str
     description: Optional[str] = None
     is_system: bool = False
+    llm_suggested: bool = False
 
 
 class TagCreate(TagBase):
diff --git a/backend/scripts/seed_knowledge.py b/backend/scripts/seed_knowledge.py
new file mode 100644
index 0000000..b2fe201
--- /dev/null
+++ b/backend/scripts/seed_knowledge.py
@@ -0,0 +1,33 @@
+import argparse
+import sys
+from pathlib import Path
+
+sys.path.append(str(Path(__file__).resolve().parent.parent))
+
+from database import SessionLocal
+from repositories.chunk_repository import ChunkRepository
+from services.ingest import ingest_pdf
+
+
+def main():
+    dbSession = SessionLocal()
+    try:
+        chunkRepo = ChunkRepository()
+        chunkRepo.clear_chunks(dbSession)
+
+        parser = argparse.ArgumentParser()
+        parser.add_argument("--strategy", type=str, default="fixed")
+        args = parser.parse_args()
+        strat = args.strategy
+
+        for pdf_path in Path("backend/data/raw/").glob("*.pdf"):
+            source = pdf_path.name
+            with open(pdf_path, "rb") as file:
+                chunks = ingest_pdf(file, source, strat, model_type="all-MiniLM-L6-v2")
+                chunkRepo.create_chunks(dbSession, source, chunks)
+    finally:
+        dbSession.close()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/backend/services/RAGTaggingService.py b/backend/services/RAGTaggingService.py
index 8f45717..de682ad 100644
--- a/backend/services/RAGTaggingService.py
+++ b/backend/services/RAGTaggingService.py
@@ -5,7 +5,7 @@
 import os
 from typing import Optional
 
-import google.generativeai as genai
+from google import genai
 from sqlalchemy.orm import Session
 
 from schemas.tag import (
@@ -25,8 +25,7 @@ class RAGTaggingService:
     """
 
     def __init__(self):
-        genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
-        self.llm = genai.GenerativeModel("gemini-1.5-flash")
+        self.client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))
 
     def suggest(
         self,
@@ -86,7 +85,7 @@ def suggest(
 
         # 3. Call LLM
         try:
-            response = self.llm.generate_content(prompt)
+            response = self.client.models.generate_content(model="gemini-2.5-flash", contents=prompt)
             raw_text = response.text.strip()
 
             # Strip markdown code fences if the model wraps the JSON
diff --git a/backend/services/ingest.py b/backend/services/ingest.py
index a756913..034e571 100644
--- a/backend/services/ingest.py
+++ b/backend/services/ingest.py
@@ -11,17 +11,29 @@
 model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
 
 
-def embed(texts: list[str]) -> list[list[float]]:
-    """Embed a list of strings using all-MiniLM-L6-v2."""
-    embeddings = model.encode(texts, convert_to_numpy=True)
-    return embeddings.tolist()
+def embed(texts: list[str], model_type: str = "all-MiniLM-L6-v2") -> list[list[float]]:
+    """Embed a list of strings using all-MiniLM-L6-v2 as the default"""
+    if model_type == "all-MiniLM-L6-v2":
+        embeddings = model.encode(texts, convert_to_numpy=True)
+        return embeddings.tolist()
 
+    elif model_type in ["text-embedding-ada-002", "text-embedding-3-large"]:  # pragma: no cover
+        import openai
 
-def ingest_pdf(file, source: str) -> list[dict[str, Any]]:
+        response = openai.Embedding.create(input=texts, model=model_type)
+        return [item["embedding"] for item in response["data"]]
+
+    else:  # pragma: no cover
+        raise ValueError("Embedding Model not known")
+
+
+def ingest_pdf(
+    file, source: str, strategy: str = "semantic", model_type: str = "all-MiniLM-L6-v2"
+) -> list[dict[str, Any]]:
     """Parse, chunk, and embed a PDF. Returns chunk dicts ready to persist."""
     full_text = convert(file)
-    chunks = chunk_text(full_text)
-    vectors = embed(chunks)
+    chunks = chunk_text(full_text, strategy=strategy)
+    vectors = embed(chunks, model_type)
 
     return [
         {
diff --git a/backend/services/pdfconvert.py b/backend/services/pdfconvert.py
index 7a03264..bbd8fe3 100644
--- a/backend/services/pdfconvert.py
+++ b/backend/services/pdfconvert.py
@@ -1,4 +1,7 @@
+import re
+
 from pypdf import PdfReader
+from semantic_text_splitter import TextSplitter
 
 
 def convert(data) -> str:
@@ -12,13 +15,31 @@ def convert(data) -> str:
     return "\n".join(pages_text)
 
 
-def chunk_text(text: str, size: int = 512, overlap: int = 50) -> list[str]:
+def chunk_text(
+    text: str, strategy: str = "fixed", size: int = 512, overlap: int = 50, sentence_group: int = 3
+) -> list[str]:
     """Split text into overlapping word-level chunks."""
     words = text.split()
     chunks = []
-    step = size - overlap
-    for i in range(0, len(words), step):
-        chunk = " ".join(words[i : i + size])
-        if chunk:
+
+    if strategy == "fixed":
+        step = size - overlap
+        for i in range(0, len(words), step):
+            chunk = " ".join(words[i : i + size])
+            if chunk:
+                chunks.append(chunk)
+
+    elif strategy == "semantic":
+        # paragraphs = [p.strip() for p in text.split("\n\n") if p.strip()]
+        # chunks.extend(paragraphs)
+        splitter = TextSplitter.from_tiktoken_model("gpt-3.5-turbo", size)
+        chunks = splitter.chunks(text)
+
+    elif strategy == "sentence":  # pragma: no cover
+        sentences = re.split(r"(?<=[.!?]) +", text)
+        sentences = [s.strip() for s in sentences if s.strip()]
+        for i in range(0, len(sentences), sentence_group):
+            chunk = " ".join(sentences[i : i + sentence_group])
             chunks.append(chunk)
+
     return chunks
diff --git a/backend/tests/integration/test_chunk_embed.py b/backend/tests/integration/test_chunk_embed.py
new file mode 100644
index 0000000..b79b8e4
--- /dev/null
+++ b/backend/tests/integration/test_chunk_embed.py
@@ -0,0 +1,27 @@
+from pathlib import Path
+
+from sqlalchemy.orm import Session
+
+from repositories.chunk_repository import ChunkRepository
+from services.ingest import ingest_pdf
+
+RAW_PDF_DIR = Path("backend/data/raw/")
+CHUNKING_STRATEGIES = ["fixed", "semantic", "sentence"]
+EMBEDDING_MODELS = ["all-MiniLM-L6-v2", "text-embedding-ada-002", "text-embedding-3-large"]
+
+
+def seed_experiments(dbSession: Session):
+    chunkRepo = ChunkRepository()
+
+    for strategy in CHUNKING_STRATEGIES:
+        for model_type in EMBEDDING_MODELS:
+            print(f"\nSeeding chunks for strategy='{strategy}', model='{model_type}'")
+
+            # Clear previous chunks for this new combination
+            chunkRepo.clear_chunks(dbSession, source=f"{strategy}_{model_type}")
+
+            for pdf_path in RAW_PDF_DIR.glob("*.pdf"):
+                source = pdf_path.stem
+                with open(pdf_path, "rb") as file:
+                    chunks_to_store = ingest_pdf(file, source=source, strategy=strategy, model_type=model_type)
+                    chunkRepo.create_chunks(dbSession, chunks_to_store)
diff --git a/backend/tests/integration/test_rag_tagging_service.py b/backend/tests/integration/test_rag_tagging_service.py
index c9d1827..5fa5acd 100644
--- a/backend/tests/integration/test_rag_tagging_service.py
+++ b/backend/tests/integration/test_rag_tagging_service.py
@@ -12,10 +12,10 @@ class TestRAGTaggingService:
     @patch("services.RAGTaggingService.genai")
     def test_suggest_with_ingredients_returns_structured_response(self, mock_genai, db_session):
         """Given a food with populated ingredients, returns non-empty suggested_ingredients with buckets."""
-        mock_llm = MagicMock()
-        mock_genai.GenerativeModel.return_value = mock_llm
-        mock_llm.generate_content.return_value = MagicMock(
-            text="""{"suggested_ingredients": [{"name": "wheat flour", "buckets": ["gluten", "wheat"]}], 
+        mock_client = MagicMock()
+        mock_genai.Client.return_value = mock_client
+        mock_client.models.generate_content.return_value = MagicMock(
+            text="""{"suggested_ingredients": [{"name": "wheat flour", "buckets": ["gluten", "wheat"]}],
             "suggested_buckets": [{"name": "gluten", "description": "contains wheat flour"}]}"""
         )
 
@@ -33,10 +33,10 @@ def test_suggest_with_ingredients_returns_structured_response(self, mock_genai,
     @patch("services.RAGTaggingService.genai")
     def test_suggest_with_no_ingredients_returns_suggestions_from_food_name(self, mock_genai, db_session):
         """Given a food with ingredients=None, returns conservative suggestions without hallucinating."""
-        mock_llm = MagicMock()
-        mock_genai.GenerativeModel.return_value = mock_llm
-        mock_llm.generate_content.return_value = MagicMock(
-            text="""{"suggested_ingredients": [{"name": "milk", "buckets": ["dairy"]}], 
+        mock_client = MagicMock()
+        mock_genai.Client.return_value = mock_client
+        mock_client.models.generate_content.return_value = MagicMock(
+            text="""{"suggested_ingredients": [{"name": "milk", "buckets": ["dairy"]}],
             "suggested_buckets": [{"name": "dairy", "description": "ice cream typically contains milk"}]}"""
         )
 
@@ -54,10 +54,10 @@ def test_suggest_does_not_persist_to_db(self, mock_genai, db_session):
         """Suggestions must never be saved — no new rows in tags or food_tags tables."""
         from models.tag import FoodTag, Tag
 
-        mock_llm = MagicMock()
-        mock_genai.GenerativeModel.return_value = mock_llm
-        mock_llm.generate_content.return_value = MagicMock(
-            text="""{"suggested_ingredients": 
+        mock_client = MagicMock()
+        mock_genai.Client.return_value = mock_client
+        mock_client.models.generate_content.return_value = MagicMock(
+            text="""{"suggested_ingredients":
             [{"name": "cheese", "buckets": ["dairy"]}], "suggested_buckets":
               [{"name": "dairy", "description": "contains cheese"}]}"""
         )
@@ -74,9 +74,9 @@ def test_suggest_does_not_persist_to_db(self, mock_genai, db_session):
     @patch("services.RAGTaggingService.genai")
     def test_suggest_handles_llm_json_parse_failure_gracefully(self, mock_genai, db_session):
         """If LLM returns malformed JSON, returns empty lists rather than crashing."""
-        mock_llm = MagicMock()
-        mock_genai.GenerativeModel.return_value = mock_llm
-        mock_llm.generate_content.return_value = MagicMock(text="this is not json")
+        mock_client = MagicMock()
+        mock_genai.Client.return_value = mock_client
+        mock_client.models.generate_content.return_value = MagicMock(text="this is not json")
 
         service = RAGTaggingService()
         result = service.suggest(db_session, "mystery food", ["unknown"])
@@ -88,9 +88,9 @@ def test_suggest_handles_llm_json_parse_failure_gracefully(self, mock_genai, db_
     @patch("services.RAGTaggingService.genai")
     def test_suggest_handles_llm_call_failure_gracefully(self, mock_genai, db_session):
         """If the LLM call itself throws, returns empty lists rather than crashing."""
-        mock_llm = MagicMock()
-        mock_genai.GenerativeModel.return_value = mock_llm
-        mock_llm.generate_content.side_effect = Exception("API unavailable")
+        mock_client = MagicMock()
+        mock_genai.Client.return_value = mock_client
+        mock_client.models.generate_content.side_effect = Exception("API unavailable")
 
         service = RAGTaggingService()
         result = service.suggest(db_session, "some food", ["ingredient"])
@@ -102,15 +102,15 @@ def test_suggest_handles_llm_call_failure_gracefully(self, mock_genai, db_sessio
     @patch("services.RAGTaggingService.genai")
     def test_suggest_handles_markdown_wrapped_json(self, mock_genai, db_session):
         """If LLM wraps JSON in markdown code fences, it should still parse correctly."""
-        mock_llm = MagicMock()
-        mock_genai.GenerativeModel.return_value = mock_llm
+        mock_client = MagicMock()
+        mock_genai.Client.return_value = mock_client
         json_text = (
             "```json\n"
             '{"suggested_ingredients": [{"name": "milk", "buckets": ["dairy"]}],'
             ' "suggested_buckets": [{"name": "dairy", "description": "contains milk"}]}'
             "\n```"
         )
-        mock_llm.generate_content.return_value = MagicMock(text=json_text)
+        mock_client.models.generate_content.return_value = MagicMock(text=json_text)
 
         service = RAGTaggingService()
         result = service.suggest(db_session, "latte", ["milk", "espresso"])
diff --git a/backend/uv.lock b/backend/uv.lock
index 966280b..adc2abf 100644
--- a/backend/uv.lock
+++ b/backend/uv.lock
@@ -48,7 +48,7 @@ source = { virtual = "." }
 dependencies = [
     { name = "bcrypt" },
     { name = "fastapi" },
-    { name = "google-generativeai" },
+    { name = "google-genai" },
     { name = "passlib", extra = ["bcrypt"] },
     { name = "pgvector" },
     { name = "psycopg2-binary" },
@@ -62,6 +62,7 @@ dependencies = [
     { name = "ruff" },
     { name = "scalar-fastapi" },
     { name = "scipy" },
+    { name = "semantic-text-splitter" },
     { name = "sentence-transformers" },
     { name = "sqlalchemy" },
     { name = "torch", version = "2.11.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
@@ -83,7 +84,7 @@ dev = [
 requires-dist = [
     { name = "bcrypt", specifier = ">=4.0.0,<5.0.0" },
     { name = "fastapi", specifier = ">=0.128.0" },
-    { name = "google-generativeai", specifier = ">=0.8.0" },
+    { name = "google-genai", specifier = ">=1.0.0" },
     { name = "passlib", extras = ["bcrypt"], specifier = ">=1.7.4" },
     { name = "pgvector", specifier = ">=0.4.2" },
     { name = "psycopg2-binary", specifier = ">=2.9.11" },
@@ -97,6 +98,7 @@ requires-dist = [
     { name = "ruff", specifier = ">=0.14.11" },
     { name = "scalar-fastapi", specifier = ">=1.6.0" },
     { name = "scipy", specifier = ">=1.17.1" },
+    { name = "semantic-text-splitter", specifier = ">=0.29.0" },
     { name = "sentence-transformers", specifier = ">=5.3.0" },
     { name = "sqlalchemy", specifier = ">=2.0.46" },
     { name = "torch", index = "https://download.pytorch.org/whl/cpu" },
@@ -544,6 +546,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/33/6b/e0547afaf41bf2c42e52430072fa5658766e3d65bd4b03a563d1b6336f57/distlib-0.4.0-py2.py3-none-any.whl", hash = "sha256:9659f7d87e46584a30b5780e43ac7a2143098441670ff0a49d5f9034c54a6c16", size = 469047, upload-time = "2025-07-17T16:51:58.613Z" },
 ]
 
+[[package]]
+name = "distro"
+version = "1.9.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/fc/f8/98eea607f65de6527f8a2e8885fc8015d3e6f5775df186e443e0964a11c3/distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed", size = 60722, upload-time = "2023-12-24T09:54:32.31Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2", size = 20277, upload-time = "2023-12-24T09:54:30.421Z" },
+]
+
 [[package]]
 name = "dnspython"
 version = "2.8.0"
@@ -675,93 +686,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d5/1f/5f4a3cd9e4440e9d9bc78ad0a91a1c8d46b4d429d5239ebe6793c9fe5c41/fsspec-2026.3.0-py3-none-any.whl", hash = "sha256:d2ceafaad1b3457968ed14efa28798162f1638dbb5d2a6868a2db002a5ee39a4", size = 202595, upload-time = "2026-03-27T19:11:13.595Z" },
 ]
 
-[[package]]
-name = "google-ai-generativelanguage"
-version = "0.6.15"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "google-api-core", version = "2.25.2", source = { registry = "https://pypi.org/simple" }, extra = ["grpc"], marker = "python_full_version >= '3.14'" },
-    { name = "google-api-core", version = "2.30.1", source = { registry = "https://pypi.org/simple" }, extra = ["grpc"], marker = "python_full_version < '3.14'" },
-    { name = "google-auth" },
-    { name = "proto-plus" },
-    { name = "protobuf" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/11/d1/48fe5d7a43d278e9f6b5ada810b0a3530bbeac7ed7fcbcd366f932f05316/google_ai_generativelanguage-0.6.15.tar.gz", hash = "sha256:8f6d9dc4c12b065fe2d0289026171acea5183ebf2d0b11cefe12f3821e159ec3", size = 1375443, upload-time = "2025-01-13T21:50:47.459Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/7c/a3/67b8a6ff5001a1d8864922f2d6488dc2a14367ceb651bc3f09a947f2f306/google_ai_generativelanguage-0.6.15-py3-none-any.whl", hash = "sha256:5a03ef86377aa184ffef3662ca28f19eeee158733e45d7947982eb953c6ebb6c", size = 1327356, upload-time = "2025-01-13T21:50:44.174Z" },
-]
-
-[[package]]
-name = "google-api-core"
-version = "2.25.2"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.14' and sys_platform != 'darwin'",
-    "python_full_version >= '3.14' and sys_platform == 'darwin'",
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+    { url = "https://files.pythonhosted.org/packages/75/3c/853c39e0adc769cf51dc87335fc929e1fe66036f3f6ece8c8556d5c1ea87/semantic_text_splitter-0.29.0-cp310-abi3-win_amd64.whl", hash = "sha256:ccbf00e2a54c790f117a4890c45f0045862a9c76bcbc23382e5eaf84fb4c8334", size = 8000626, upload-time = "2025-12-30T22:31:57.173Z" },
+]
+
 [[package]]
 name = "sentence-transformers"
 version = "5.3.0"
@@ -2241,6 +2052,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" },
 ]
 
+[[package]]
+name = "sniffio"
+version = "1.3.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a2/87/a6771e1546d97e7e041b6ae58d80074f81b7d5121207425c964ddf5cfdbd/sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc", size = 20372, upload-time = "2024-02-25T23:20:04.057Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235, upload-time = "2024-02-25T23:20:01.196Z" },
+]
+
 [[package]]
 name = "sqlalchemy"
 version = "2.0.48"
@@ -2319,6 +2139,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a2/09/77d55d46fd61b4a135c444fc97158ef34a095e5681d0a6c10b75bf356191/sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5", size = 6299353, upload-time = "2025-04-27T18:04:59.103Z" },
 ]
 
+[[package]]
+name = "tenacity"
+version = "9.1.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/47/c6/ee486fd809e357697ee8a44d3d69222b344920433d3b6666ccd9b374630c/tenacity-9.1.4.tar.gz", hash = "sha256:adb31d4c263f2bd041081ab33b498309a57c77f9acf2db65aadf0898179cf93a", size = 49413, upload-time = "2026-02-07T10:45:33.841Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d7/c1/eb8f9debc45d3b7918a32ab756658a0904732f75e555402972246b0b8e71/tenacity-9.1.4-py3-none-any.whl", hash = "sha256:6095a360c919085f28c6527de529e76a06ad89b23659fa881ae0649b867a9d55", size = 28926, upload-time = "2026-02-07T10:45:32.24Z" },
+]
+
 [[package]]
 name = "threadpoolctl"
 version = "3.6.0"
@@ -2548,15 +2377,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/dc/9b/47798a6c91d8bdb567fe2698fe81e0c6b7cb7ef4d13da4114b41d239f65d/typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7", size = 14611, upload-time = "2025-10-01T02:14:40.154Z" },
 ]
 
-[[package]]
-name = "uritemplate"
-version = "4.2.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/98/60/f174043244c5306c9988380d2cb10009f91563fc4b31293d27e17201af56/uritemplate-4.2.0.tar.gz", hash = "sha256:480c2ed180878955863323eea31b0ede668795de182617fef9c6ca09e6ec9d0e", size = 33267, upload-time = "2025-06-02T15:12:06.318Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/a9/99/3ae339466c9183ea5b8ae87b34c0b897eda475d2aec2307cae60e5cd4f29/uritemplate-4.2.0-py3-none-any.whl", hash = "sha256:962201ba1c4edcab02e60f9a0d3821e82dfc5d2d6662a21abd533879bdb8a686", size = 11488, upload-time = "2025-06-02T15:12:03.405Z" },
-]
-
 [[package]]
 name = "urllib3"
 version = "2.6.3"
diff --git a/docker-compose.yml b/docker-compose.yml
index 0e098d8..3066957 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -11,6 +11,7 @@ services:
       - ./data_generator:/seed_data:ro
     environment:
       - ENVIRONMENT=development
+      - GEMINI_API_KEY=${GEMINI_API_KEY}
       - DATABASE_URL=postgresql://test_user:test_password@test-db:5432/test_remetra
     env_file:
       - path: .env
diff --git a/package-lock.json b/package-lock.json
deleted file mode 100644
index 9390f98..0000000
--- a/package-lock.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-  "name": "remetra",
-  "lockfileVersion": 3,
-  "requires": true,
-  "packages": {}
-}
diff --git a/railway.json b/railway.json
new file mode 100644
index 0000000..f60d0dd
--- /dev/null
+++ b/railway.json
@@ -0,0 +1,11 @@
+{
+  "$schema": "https://railway.com/railway.schema.json",
+  "build": {
+    "dockerfilePath": "Dockerfile.backend"
+  },
+  "deploy": {
+    "startCommand": "uv run uvicorn main:app --host 0.0.0.0 --port $PORT",
+    "healthcheckPath": "/health",
+    "healthcheckTimeout": 30
+  }
+}