Update GraphRAG to be compatible with latest component changes (#1427)

- Updated ENV VARS to align with recent changes in neo4j dataprep and retriever.
- upgraded tgi-gaudi image version
Related to GenAIComps repo issue #1025 (opea-project/GenAIComps#1025)

Original PR #1384
Original contributor is @rbrugaro

Signed-off-by: Xinyao Wang <xinyao.wang@intel.com>
Co-authored-by: Liang Lv <liang1.lv@intel.com>

GraphRAG/docker_compose/intel/hpu/gaudi/compose.yaml

@@ -60,6 +60,7 @@ services:
       LIMIT_HPU_GRAPH: true
       USE_FLASH_ATTENTION: true
       FLASH_ATTENTION_RECOMPUTE: true
+      TEXT_GENERATION_SERVER_IGNORE_EOS_TOKEN: false
     runtime: habana
     cap_add:
       - SYS_NICE
@@ -93,6 +94,7 @@ services:
       OPENAI_LLM_MODEL: ${OPENAI_LLM_MODEL}
       EMBEDDING_MODEL_ID: ${EMBEDDING_MODEL_ID}
       LLM_MODEL_ID: ${LLM_MODEL_ID}
+      MAX_OUTPUT_TOKENS: ${MAX_OUTPUT_TOKENS}
       LOGFLAG: ${LOGFLAG}
     restart: unless-stopped
   retriever-neo4j-llamaindex:
@@ -122,6 +124,7 @@ services:
       OPENAI_LLM_MODEL: ${OPENAI_LLM_MODEL}
       EMBEDDING_MODEL_ID: ${EMBEDDING_MODEL_ID}
       LLM_MODEL_ID: ${LLM_MODEL_ID}
+      MAX_OUTPUT_TOKENS: ${MAX_OUTPUT_TOKENS}
       LOGFLAG: ${LOGFLAG}
       RETRIEVER_COMPONENT_NAME: "OPEA_RETRIEVER_NEO4J"
     restart: unless-stopped
@@ -144,6 +147,7 @@ services:
       - RETRIEVER_SERVICE_PORT=7000
       - LLM_SERVER_HOST_IP=tgi-gaudi-service
       - LLM_SERVER_PORT=${LLM_SERVER_PORT:-80}
+      - LLM_MODEL_ID=${LLM_MODEL_ID}
       - LOGFLAG=${LOGFLAG}
     ipc: host
     restart: always

GraphRAG/docker_compose/intel/hpu/gaudi/set_env.sh

@@ -12,7 +12,7 @@ popd > /dev/null
 
 export EMBEDDING_MODEL_ID="BAAI/bge-base-en-v1.5"
 export OPENAI_EMBEDDING_MODEL="text-embedding-3-small"
-export LLM_MODEL_ID="meta-llama/Meta-Llama-3-8B-Instruct"
+export LLM_MODEL_ID="meta-llama/Meta-Llama-3.1-8B-Instruct"
 export OPENAI_LLM_MODEL="gpt-4o"
 export TEI_EMBEDDING_ENDPOINT="http://${host_ip}:6006"
 export TGI_LLM_ENDPOINT="http://${host_ip}:6005"
@@ -21,3 +21,5 @@ export NEO4J_USERNAME=neo4j
 export DATAPREP_SERVICE_ENDPOINT="http://${host_ip}:5000/v1/dataprep/ingest"
 export LOGFLAG=True
 export RETRIEVER_SERVICE_PORT=80
+export LLM_SERVER_PORT=80
+export MAX_OUTPUT_TOKENS=1024