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dbabef2 5f6d20c dbabef2 1103360 dbabef2 1103360 dbabef2 1103360 e7a4680 1103360 dbabef2 e7a4680 dbabef2 5f6d20c dbabef2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 | from __future__ import annotations
from qdrant_client import QdrantClient
from qdrant_client.models import (
Distance,
FieldCondition,
Filter,
MatchValue,
VectorParams,
PointStruct
)
import os
class QdrantStore:
def __init__(
self,
collection_name: str = "legal_rag",
host: str = "localhost",
port: int = 6333
):
qdrant_url = os.getenv("QDRANT_URL")
qdrant_api_key = os.getenv("QDRANT_API_KEY")
self.collection_name = (
collection_name
)
if qdrant_url:
self.client = QdrantClient(
url=qdrant_url,
api_key=qdrant_api_key,
check_compatibility=False
)
self.client.delete_collection(collection_name="legal_rag")
else:
self.client = QdrantClient(
host="localhost",
port=6333
)
# =====================================================
# COLLECTION EXISTS
# =====================================================
def collection_exists(
self
) -> bool:
collections = (
self.client
.get_collections()
.collections
)
return any(
c.name ==
self.collection_name
for c in collections
)
# =====================================================
# CREATE COLLECTION
# =====================================================
def create_collection(
self,
vector_size: int
):
if self.collection_exists():
return
self.client.create_collection(
collection_name=
self.collection_name,
vectors_config=
VectorParams(
size=vector_size,
distance=
Distance.COSINE
)
)
# =====================================================
# RECREATE COLLECTION
# =====================================================
def recreate_collection(
self,
vector_size: int
):
if self.collection_exists():
self.client.delete_collection(
self.collection_name
)
self.client.create_collection(
collection_name=
self.collection_name,
vectors_config=
VectorParams(
size=vector_size,
distance=
Distance.COSINE
)
)
# =====================================================
# UPSERT
# =====================================================
def upsert_points(
self,
points: list[dict],
batch_size: int = 8
):
total = len(points)
for start in range(
0,
total,
batch_size
):
end = start + batch_size
batch = points[start:end]
qdrant_points = []
for point in batch:
qdrant_points.append(
PointStruct(
id=point["id"],
vector=point["vector"],
payload=point["payload"]
)
)
self.client.upsert(
collection_name=
self.collection_name,
points=
qdrant_points,
wait=True
)
print(
f"Uploaded "
f"{min(end,total)}"
f"/{total}"
)
def search_with_filter(
self,
query_vector,
document: str = None,
limit: int = 10
):
q_filter = None
if document:
q_filter = Filter(
must=[
FieldCondition(
key="document",
match=MatchValue(
value=document
)
)
]
)
return self.client.query_points(
collection_name=self.collection_name,
query=query_vector,
query_filter=q_filter,
limit=limit
)
# =====================================================
# SEARCH
# =====================================================
def search(
self,
query_vector,
limit: int = 10
):
return self.client.query_points(
collection_name=
self.collection_name,
query=
query_vector,
limit=
limit
)
# =====================================================
# COUNT
# =====================================================
def count(
self
):
return self.client.count(
collection_name=
self.collection_name
).count |