fix(anythingllm): /collector dir for doc upload

This commit is contained in:
nold 2023-12-27 14:10:05 +01:00
parent f1718de011
commit c920ccf2a3

View file

@ -7,34 +7,26 @@ controllers:
tag: master
env:
STORAGE_DIR: /data
STORAGE_DIR: /app/server/storage
# SERVER_PORT=3001
# STORAGE_DIR="/app/server/storage"
# UID='1000'
# GID='1000'
# # JWT_SECRET="my-random-string-for-seeding" # Only needed if AUTH_TOKEN is set. Please generate random string at least 12 chars long.
#
###########################################
######## LLM API SElECTION ################
###########################################
LLM_PROVIDER: 'localai'
LOCAL_AI_BASE_PATH: 'http://localai-local-ai.ai.svc.cluster.local/v1'
# LOCAL_AI_MODEL_PREF: 'luna-ai-llama2'
LOCAL_AI_MODEL_PREF: 'thebloke__dolphin-2.2.1-mistral-7b-gguf__dolphin-2.2.1-mistral-7b.q5_k_m.gguf'
LOCAL_AI_MODEL_TOKEN_LIMIT: 1024
# LOCAL_AI_API_KEY="sk-123abc"
###########################################
######## Embedding API SElECTION ##########
###########################################
EMBEDDING_ENGINE: 'localai'
EMBEDDING_BASE_PATH: 'http://localai-local-ai.ai.svc.cluster.local/v1'
EMBEDDING_MODEL_PREF: 'text-embedding-ada-002'
# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=1000 # The max chunk size in chars a string to embed can be
###########################################
EMBEDDING_MODEL_MAX_CHUNK_LENGTH: 1000
######## Vector Database Selection ########
###########################################
# Enable all below if you are using vector database: LanceDB.
VECTOR_DB: "lancedb"
ingress:
@ -58,10 +50,21 @@ persistence:
data:
accessMode: ReadWriteOnce
enabled: true
mountPath: /data
readOnly: false
size: 10Gi
type: persistentVolumeClaim
globalMounts:
- path: /app/server/storage
collector:
enabled: true
type: emptyDir
globalMounts:
- path: /app/collector/hotdir
outputs:
enabled: true
type: emptyDir
globalMounts:
- path: /app/collector/outputs
securityContext:
privileged: false