diff --git a/src/data-pipeline/clean.py b/src/data-pipeline/clean.py
index d669992..67e845d 100644
--- a/src/data-pipeline/clean.py
+++ b/src/data-pipeline/clean.py
@@ -72,7 +72,7 @@ def format_date_struct(date_info):
         date = date_info.get("date")
         if date is not None and date_info.get("type") == "ESTIMATED":
             date += " (estimated)"
-        return date
+        return date or ""
     return str(date_info)
 
 
@@ -80,9 +80,9 @@ def clean_outcomes(outcomes):
     """Helper function to clean a list of measure outcomes."""
     return [
         {
-            "measure": item.get("measure"),
-            "description": item.get("description"),
-            "time_frame": item.get("timeFrame"),
+            "measure": item.get("measure", ""),
+            "description": item.get("description", ""),
+            "time_frame": item.get("timeFrame", ""),
         }
         for item in outcomes
     ]
@@ -146,32 +146,32 @@ def clean_one_study(study):
 
     # Identification module
     id_module = protocols.get("identificationModule", {})
-    cleaned_data["id"] = id_module.get("nctId")
-    cleaned_data["short_title"] = id_module.get("briefTitle")
-    cleaned_data["long_title"] = id_module.get("officialTitle")
-    cleaned_data["organization"] = id_module.get("organization", {}).get("fullName")
+    cleaned_data["id"] = id_module.get("nctId", "")
+    cleaned_data["short_title"] = id_module.get("briefTitle", "")
+    cleaned_data["long_title"] = id_module.get("officialTitle", "")
+    cleaned_data["organization"] = id_module.get("organization", {}).get("fullName", "")
 
     # Status module
     status_module = protocols.get("statusModule", {})
-    cleaned_data["submit_date"] = status_module.get("studyFirstSubmitDate")
-    cleaned_data["submit_date_qc"] = status_module.get("studyFirstSubmitQcDate")
+    cleaned_data["submit_date"] = status_module.get("studyFirstSubmitDate", "")
+    cleaned_data["submit_date_qc"] = status_module.get("studyFirstSubmitQcDate", "")
     cleaned_data["submit_date_posted"] = format_date_struct(
         status_module.get("studyFirstPostDateStruct", {})
     )
-    cleaned_data["results_date"] = status_module.get("resultsFirstSubmitDate")
-    cleaned_data["results_date_qc"] = status_module.get("resultsFirstSubmitQcDate")
+    cleaned_data["results_date"] = status_module.get("resultsFirstSubmitDate", "")
+    cleaned_data["results_date_qc"] = status_module.get("resultsFirstSubmitQcDate", "")
     cleaned_data["results_date_posted"] = format_date_struct(
         status_module.get("resultsFirstPostDateStruct", {})
     )
-    cleaned_data["last_update_date"] = status_module.get("lastUpdateSubmitDate")
+    cleaned_data["last_update_date"] = status_module.get("lastUpdateSubmitDate", "")
     cleaned_data["last_update_date_posted"] = format_date_struct(
         status_module.get("lastUpdatePostDateStruct", {})
     )
-    cleaned_data["verify_date"] = status_module.get("statusVerifiedDate")
+    cleaned_data["verify_date"] = status_module.get("statusVerifiedDate", "")
 
     # Sponsor/Collaborators module
     collab_module = protocols.get("sponsorCollaboratorsModule", {})
-    cleaned_data["sponsor"] = collab_module.get("leadSponsor", {}).get("name")
+    cleaned_data["sponsor"] = collab_module.get("leadSponsor", {}).get("name", "")
     cleaned_data["collaborators"] = [
         name
         for item in collab_module.get("collaborators", [])
@@ -180,8 +180,8 @@ def clean_one_study(study):
 
     # Description module
     descr_module = protocols.get("descriptionModule", {})
-    cleaned_data["summary"] = descr_module.get("briefSummary", None)
-    cleaned_data["details"] = descr_module.get("detailedDescription", None)
+    cleaned_data["summary"] = descr_module.get("briefSummary", "")
+    cleaned_data["details"] = descr_module.get("detailedDescription", "")
 
     # Conditions module
     cond_module = protocols.get("conditionsModule", {})
@@ -190,26 +190,26 @@ def clean_one_study(study):
     # Design module
     design_module = protocols.get("designModule", {})
     design_info = design_module.get("designInfo", {})
-    cleaned_data["study_phases"] = ", ".join(design_module.get("phases", [])) or None
-    cleaned_data["study_type"] = design_module.get("studyType")
+    cleaned_data["study_phases"] = ", ".join(design_module.get("phases", []))
+    cleaned_data["study_type"] = design_module.get("studyType", "")
     cleaned_data["enrollment_count"] = design_module.get("enrollmentInfo", {}).get(
         "count", 0
     )
-    cleaned_data["allocation"] = design_info.get("allocation")
-    cleaned_data["intervention_model"] = design_info.get("interventionModel")
-    cleaned_data["observational_model"] = design_info.get("observationalModel")
-    cleaned_data["primary_purpose"] = design_info.get("primaryPurpose")
-    cleaned_data["who_masked"] = (
-        ", ".join(design_info.get("maskingInfo", {}).get("whoMasked", [])) or None
+    cleaned_data["allocation"] = design_info.get("allocation", "")
+    cleaned_data["intervention_model"] = design_info.get("interventionModel", "")
+    cleaned_data["observational_model"] = design_info.get("observationalModel", "")
+    cleaned_data["primary_purpose"] = design_info.get("primaryPurpose", "")
+    cleaned_data["who_masked"] = ", ".join(
+        design_info.get("maskingInfo", {}).get("whoMasked", [])
     )
 
     # Inverventions module
     interv_module = protocols.get("armsInterventionsModule", {})
     cleaned_data["interventions"] = [
         {
-            "type": item.get("type"),
-            "name": item.get("name"),
-            "description": item.get("description"),
+            "type": item.get("type", ""),
+            "name": item.get("name", ""),
+            "description": item.get("description", ""),
         }
         for item in interv_module.get("interventions", [])
     ]
@@ -228,9 +228,9 @@ def clean_one_study(study):
 
     # Eligibility module
     elig_module = protocols.get("eligibilityModule", {})
-    cleaned_data["min_age"] = extract_age(elig_module.get("minimumAge", ""))
-    cleaned_data["max_age"] = extract_age(elig_module.get("maximumAge", ""))
-    cleaned_data["eligible_sex"] = elig_module.get("sex")
+    cleaned_data["min_age"] = extract_age(elig_module.get("minimumAge", "")) or 0
+    cleaned_data["max_age"] = extract_age(elig_module.get("maximumAge", "")) or 120
+    cleaned_data["eligible_sex"] = elig_module.get("sex", "")
     cleaned_data["accepts_healthy"] = elig_module.get("healthyVolunteers", False)
     cleaned_data["inclusion_criteria"], cleaned_data["exclusion_criteria"] = (
         get_inclusion_exclusion_criteria(elig_module.get("eligibilityCriteria"))
@@ -248,15 +248,17 @@ def clean_one_study(study):
     # References module
     ref_module = protocols.get("referencesModule", {})
     cleaned_data["references"] = [
-        {"pmid": item.get("pmid"), "citation": item.get("citation")}
+        {"pmid": pmid, "citation": item.get("citation", "")}
         for item in ref_module.get("references", [])
+        if (pmid := item.get("pmid")) is not None
     ]
 
     # Large documents module
     doc_module = documents.get("largeDocumentModule", {})
     cleaned_data["documents"] = [
-        {"url": get_document_url(cleaned_data["id"], item), "size": item.get("size")}
+        {"url": url, "size": item.get("size", 0)}
         for item in doc_module.get("largeDocs", [])
+        if (url := get_document_url(cleaned_data["id"], item)) is not None
     ]
 
     return cleaned_data
diff --git a/src/embedding-model/Pipfile b/src/embedding-model/Pipfile
index 3444262..d047478 100644
--- a/src/embedding-model/Pipfile
+++ b/src/embedding-model/Pipfile
@@ -3,15 +3,20 @@ name = "pypi"
 url = "https://pypi.org/simple"
 verify_ssl = true
 
+[[source]]
+name = "pytorch-cpu"
+url = "https://download.pytorch.org/whl/cpu"
+verify_ssl = true
+
 [packages]
 chromadb-client = "*"
 click = "*"
 FlagEmbedding = "*"
 google-cloud-storage = "*"
 numpy = "*"
-peft = "*"  # XXX: required by FlagEmbedding, but not in setup.py before 1.0.6
 rich = "*"
 scikit-learn = "*"
+torch = {version = "*", index = "pytorch-cpu"}
 
 [dev-packages]
 black = "*"
diff --git a/src/embedding-model/Pipfile.lock b/src/embedding-model/Pipfile.lock
index 6757915..fe34a40 100644
--- a/src/embedding-model/Pipfile.lock
+++ b/src/embedding-model/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "0e9e6b1398a499320ca28c0fe76871f8449c7338d5f505be421f43e2d2b63d44"
+            "sha256": "08633abb34ac618f86f9398a1da310a89d67893b30600eb546843aded9dcb0ad"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -12,17 +12,22 @@
                 "name": "pypi",
                 "url": "https://pypi.org/simple",
                 "verify_ssl": true
+            },
+            {
+                "name": "pytorch-cpu",
+                "url": "https://download.pytorch.org/whl/cpu",
+                "verify_ssl": true
             }
         ]
     },
     "default": {
         "accelerate": {
             "hashes": [
-                "sha256:c6aa0c7b8a797cb150471e90e3ca36ac41f5d4b40512cdd6f058b8bf25589467",
-                "sha256:e8f95fc2db14915dc0a9182edfcf3068e5ddb2fa310b583717ad44e5c442399c"
+                "sha256:0d39dfac557052bc735eb2703a0e87742879e1e40b88af8a2f9a93233d4cd7db",
+                "sha256:61edd81762131b8d4bede008643fa1e1f3bf59bec710ebda9771443e24feae02"
             ],
-            "markers": "python_full_version >= '3.8.0'",
-            "version": "==1.0.1"
+            "markers": "python_full_version >= '3.9.0'",
+            "version": "==1.1.1"
         },
         "aiohappyeyeballs": {
             "hashes": [
@@ -34,100 +39,85 @@
         },
         "aiohttp": {
             "hashes": [
-                "sha256:007ec22fbc573e5eb2fb7dec4198ef8f6bf2fe4ce20020798b2eb5d0abda6138",
-                "sha256:00819de9e45d42584bed046314c40ea7e9aea95411b38971082cad449392b08c",
-                "sha256:01948b1d570f83ee7bbf5a60ea2375a89dfb09fd419170e7f5af029510033d24",
-                "sha256:038f514fe39e235e9fef6717fbf944057bfa24f9b3db9ee551a7ecf584b5b480",
-                "sha256:03a42ac7895406220124c88911ebee31ba8b2d24c98507f4a8bf826b2937c7f2",
-                "sha256:05646ebe6b94cc93407b3bf34b9eb26c20722384d068eb7339de802154d61bc5",
-                "sha256:0631dd7c9f0822cc61c88586ca76d5b5ada26538097d0f1df510b082bad3411a",
-                "sha256:0b00807e2605f16e1e198f33a53ce3c4523114059b0c09c337209ae55e3823a8",
-                "sha256:0e1b370d8007c4ae31ee6db7f9a2fe801a42b146cec80a86766e7ad5c4a259cf",
-                "sha256:15ecd889a709b0080f02721255b3f80bb261c2293d3c748151274dfea93ac871",
-                "sha256:1b66ccafef7336a1e1f0e389901f60c1d920102315a56df85e49552308fc0486",
-                "sha256:1bbb122c557a16fafc10354b9d99ebf2f2808a660d78202f10ba9d50786384b9",
-                "sha256:1eb89d3d29adaf533588f209768a9c02e44e4baf832b08118749c5fad191781d",
-                "sha256:258c5dd01afc10015866114e210fb7365f0d02d9d059c3c3415382ab633fcbcb",
-                "sha256:2609e9ab08474702cc67b7702dbb8a80e392c54613ebe80db7e8dbdb79837c68",
-                "sha256:274cfa632350225ce3fdeb318c23b4a10ec25c0e2c880eff951a3842cf358ac1",
-                "sha256:28529e08fde6f12eba8677f5a8608500ed33c086f974de68cc65ab218713a59d",
-                "sha256:2b606353da03edcc71130b52388d25f9a30a126e04caef1fd637e31683033abd",
-                "sha256:30ca7c3b94708a9d7ae76ff281b2f47d8eaf2579cd05971b5dc681db8caac6e1",
-                "sha256:333cf6cf8e65f6a1e06e9eb3e643a0c515bb850d470902274239fea02033e9a8",
-                "sha256:3455522392fb15ff549d92fbf4b73b559d5e43dc522588f7eb3e54c3f38beee7",
-                "sha256:362f641f9071e5f3ee6f8e7d37d5ed0d95aae656adf4ef578313ee585b585959",
-                "sha256:3bcd391d083f636c06a68715e69467963d1f9600f85ef556ea82e9ef25f043f7",
-                "sha256:3dffb610a30d643983aeb185ce134f97f290f8935f0abccdd32c77bed9388b42",
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-                "sha256:4470c73c12cd9109db8277287d11f9dd98f77fc54155fc71a7738a83ffcc8ea8",
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-                "sha256:f7db54c7914cc99d901d93a34704833568d86c20925b2762f9fa779f9cd2e70f",
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-                "sha256:fe2fb38c2ed905a2582948e2de560675e9dfbee94c6d5ccdb1301c6d0a5bf092",
-                "sha256:ffe595f10566f8276b76dc3a11ae4bb7eba1aac8ddd75811736a15b0d5311414"
+                "sha256:00c22fe2486308770d22ef86242101d7b0f1e1093ce178f2358f860e5149a551",
+                "sha256:00d894ebd609d5a423acef885bd61e7f6a972153f99c5b3ea45fc01fe909196c",
+                "sha256:04d1a02a669d26e833c8099992c17f557e3b2fdb7960a0c455d7b1cbcb05121d",
+                "sha256:04fe2d99acbc5cf606f75d7347bf3a027c24c27bc052d470fb156f4cfcea5739",
+                "sha256:0d10967600ce5bb69ddcb3e18d84b278efb5199d8b24c3c71a4959c2f08acfd0",
+                "sha256:10499079b063576fad1597898de3f9c0a2ce617c19cc7cd6b62fdcff6b408bf7",
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-            "markers": "python_version >= '3.8'",
-            "version": "==3.10.10"
+            "markers": "python_version >= '3.9'",
+            "version": "==3.11.6"
         },
         "aiosignal": {
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@@ -169,6 +159,14 @@
             "markers": "python_version >= '3.7' and python_version < '4.0'",
             "version": "==2.2.1"
         },
+        "beautifulsoup4": {
+            "hashes": [
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+            "markers": "python_full_version >= '3.6.0'",
+            "version": "==4.12.3"
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@@ -177,6 +175,12 @@
             "markers": "python_version >= '3.7'",
             "version": "==5.5.0"
         },
+        "cbor": {
+            "hashes": [
+                "sha256:13225a262ddf5615cbd9fd55a76a0d53069d18b07d2e9f19c39e6acb8609bbb6"
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         "certifi": {
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                 "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8",
@@ -298,12 +302,12 @@
         },
         "chromadb-client": {
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             "markers": "python_version >= '3.8'",
-            "version": "==0.5.15"
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@@ -316,19 +320,19 @@
         },
         "datasets": {
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-            "version": "==3.0.1"
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-            "version": "==1.2.14"
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@@ -348,120 +352,135 @@
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@@ -523,72 +542,72 @@
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@@ -1700,12 +2029,12 @@
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@@ -1905,11 +2234,69 @@
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@@ -1927,13 +2314,21 @@
             "markers": "python_version >= '3.7'",
             "version": "==1.3.1"
         },
+        "soupsieve": {
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@@ -2126,6 +2506,14 @@
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+                "sha256:2e32829c429dd081ee5ba39aef436603e5b22335c3d3fff013cd585806a6486a",
+                "sha256:3bd726099f277d735dc38900b6a8d6cf070f80828877941983a57bca1cd92172",
+                "sha256:63a569b36bc66fbadec5beaa539dd81e0527cb258b94e29e0531ce41bacc1f20",
+                "sha256:662a63b4971807623f6f90c1fb664613f67cc182dc4d991471c23c541fee62dd",
+                "sha256:745775c7b39f914238ed1f1b0bebed0b9155a17cd8bc0b08d3c87e4703b990d6",
+                "sha256:75c53f54904be42dd52a548728a5b572344b50d9b2873d13a3f8c5e3b91f5cac",
+                "sha256:7dbdc7d8274e1422722933d1edddfdc65b4336abf0b16dfcb9dedd6e6a517d06",
+                "sha256:80094ecd4793c68b2571b128f91754d60f692d64bc0d7272ec9197fdd09bf9ea",
+                "sha256:876f5e09eaae3eb76814c1d3b68879891d6fde4824c015d48e7a7da4cf066a3a",
+                "sha256:997512325c6620d1c4c2b15db49ef59543ef9cd0f4aa8065ec2ae5103cedc7e7",
+                "sha256:a4919925e7684a3f18e18243cd6bea7cfb8e968a6eaa8437971f681b7ec51478",
+                "sha256:cd12e35031f5af6b9b93715d8c4f40360070b2041f81273d0527683d5708fce2",
+                "sha256:cfb365c135b830778dda8c04fb7d4280ed0b984e1aec27f574445231e20d6c63",
+                "sha256:e0cea28d0944f74ebc33e9f934238f15c758841f9f5edd180b5315c203293452"
             ],
             "index": "pypi",
             "markers": "python_version >= '3.7'",
-            "version": "==0.6.9"
+            "version": "==0.7.4"
         }
     }
 }
diff --git a/src/embedding-model/store.py b/src/embedding-model/store.py
index c3d8e49..7c0876e 100644
--- a/src/embedding-model/store.py
+++ b/src/embedding-model/store.py
@@ -23,8 +23,9 @@ def stringify_metadata(metadata):
     stringfied = {}
     for k, v in metadata.items():
         if v is None:
-            # Numeric None values are automatically converted to NaN in the
-            # dataframe so we can safely convert the rest to empty strings
+            # This is a safeguard for None values, which are not allowed in
+            # ChromaDB; we ensure not to leave numerical fields empty so we
+            # safely replace with an empty string here
             stringfied[k] = ""
         elif isinstance(v, (list, dict)):
             stringfied[k] = json.dumps(v)