config.toml

[embed_model]
model_name = "BAAI/bge-base-en-v1.5"    # Name of the embedding model to load from HuggingFace Library
cache_folder = "/DocQna/store/models"    # Folder to cache the model in
embed_batch_size = 1    # Batch size to pass the data at once to model (Keep low to prevent OutOfMemory Error)

[transformations]
chunk_size = 1000   # The size of the chunks to be separated as Nodes
chunk_overlap = 100    # Number of overlapping characters between adjacent chunks

[redis]
host_name = 'redis'   # Host Name where the Redis Server is running 
port_no = 6379    # Port Number where the Redis Server is running
doc_store_name = "DocStore_v1"      # Namespace where the Docs are tracked
vector_index_name = "VecStore_v1"   # Namespace where the vectors are stored
vector_index_prefix = "VecStore_v1"    # Prefix of vector store name
cache_name = "CacheStore_v1"       # Namespace of the cache storage

[paths]
data_path = "/RAGIndex/data/"