cld2labs/RAGChatbot

[gopal-raj-suresh]

Description

This PR introduces the RAGChatbot sample solution, a Retrieval-Augmented Generation (RAG) chatbot implementation designed for document-based question answering. The blueprint demonstrates RAG workflow with ingestion, vector indexing, retrieval, and context-grounded response generation.

Recent Enhancements:

• CWE-295 fix - Enabled SSL certificate verification in httpx client by removing verify=False flag
• Container security hardening - Added non-root USER directives to both API and UI Dockerfiles to prevent container escape vulnerabilities
• Docker - Configured proper file ownership and non-privileged user execution for all services

[alexsin368]

Having a deployment issue with the backend:

File "/app/server.py", line 17, in
from services import (
File "/app/services/init.py", line 7, in
from .retrieval_service import build_retrieval_chain, query_documents
File "/app/services/retrieval_service.py", line 9, in
from langchain.chains.retrieval import create_retrieval_chain
ModuleNotFoundError: No module named 'langchain.chains'

[alexsin368]

Need changes for APISIX/Keycloak to work. Still need to test with GenAI Gateway

[gopal-raj-suresh]

Having a deployment issue with the backend:

File "/app/server.py", line 17, in from services import ( File "/app/services/init.py", line 7, in from .retrieval_service import build_retrieval_chain, query_documents File "/app/services/retrieval_service.py", line 9, in from langchain.chains.retrieval import create_retrieval_chain ModuleNotFoundError: No module named 'langchain.chains'

The issue is fixed.

[alexsin368]

Just a few more minor edits. With current changes, no issues with APISIX/Keycloak. Will test with GenAI gateway.

[alexsin368]

Tested on GenAI gateway. LGTM!