fix: reduce vector index resource

Dockerfile

@@ -15,10 +15,9 @@ COPY redis.conf .
 ENV REDIS_HOST=localhost
 ENV REDIS_PORT=6379
 
+COPY ./src ./src
 ENV TRANSFORMERS_CACHE=/tmp/.cache/huggingface/transformers
 ENV HF_HOME=/tmp/.cache/huggingface
 ENV SENTENCE_TRANSFORMERS_HOME=/tmp/.cache/sentence_transformers
 
-COPY ./src ./src
-
 CMD ["sh", "-c", "redis-server redis.conf & python3 src/app.py"]

redis.conf

@@ -2,4 +2,4 @@ loadmodule /opt/redis-stack/lib/redisearch.so
 
 maxmemory 768mb
 
-dir /data
+dir /tmp

src/constants.py

@@ -13,10 +13,10 @@ HNSW_PARAMETERS = {
     # Defines the initial capacity of the vector index. It helps in pre-allocating space for the index.
     "INITIAL_CAP": 440,
     # Max number of outgoing edges (connections) for each node in a graph layer.
-    "M": 32,
+    "M": 16,
     # Max number of connected neighbors to consider during graph building.
     # Higher values increase accuracy, but also increase index build time.
-    "EF_CONSTRUCTION": 512,
+    "EF_CONSTRUCTION": 256,
     # Max top candidates during KNN search. Higher values increase accuracy, but also increase search latency.
     "EF_RUNTIME": 10,
 }