Rsnarsna/advanced-multi-hop-rag

Implement dynamic bot configuration management system with database persistence and admin API endpoints

Add prompts.py to manage SoftMania system prompt and user instructions

Implement assistant prompt management, link extraction utilities, and knowledge base seeding scripts

now twh llm only respond in english

llm model updated

assistant prompt improvement

add system prompt and user instruction templates with SoftMania knowledge injection

Implement WhatsApp bot integration with multi-priority routing for menu, assistant, and RAG modes

Implement WhatsApp bot message routing, assistant engine, and vector database session management

upgrade to Python 3.12 and remove dev requirements from Dockerfile

Implement SoftMania assistant engine with RAG-based prompt engineering and WhatsApp bot integration

implement PGVector integration and database schema for document chunks, portal links, and chat session management

refactor requirements.txt to reorganize dependencies and improve clarity

refactor menu session handling to use chat_sessions and ensure session existence before processing

implement PGVector ingestion utilities and initialize WhatsApp bot structure

introduce environment-aware configuration and optimize Docker build process

implement WhatsApp menu engine and centralized configuration management

implement WhatsApp bot integration with thread-safe client initialization and interactive feedback handling

implement WhatsApp bot integration with interactive feedback and add configurable agent status controls

Implement webhook deduplication to prevent duplicate message processing

Enhance WhatsApp webhook handling by adding background task support for message processing

Fix endpoint paths for WhatsApp webhook routes by adding trailing slashes

Refactor Docker and deployment configurations for improved efficiency and clarity; enhance model pre-download logic in main.py

Add Vercel configuration, enhance logging, and update requirements

Add .dockerignore and optimize Dockerfile for improved build efficiency

Update landing page and widget styles for improved aesthetics and readability

Add chardet and pywa to requirements for enhanced functionality

add `prod.example.env` for strict production environment configuration.

Refactor and enhance API functionality with new features and improvements

Improve input validation for query length in query_softmania function

feat: Enhance README with detailed sections, deployment notes, and API reference

Add database setup on startup and enhance chat widget with theme toggle and fullscreen support

enhance session management and chat history handling

Enhance chat functionality with session management and memory support; update prompts and guardrails for improved context handling.

Move front matter to the top of README.md.

Introduce agent prompt definitions and guardrails in `src/prompts.py` and reorder `README.md` metadata.

Implement portal links management API and integrate with existing services

Implement the core SoftMania Chat-Bot architecture using LangGraph for agentic routing and PGVector for semantic retrieval and ingestion.

implement FastAPI server with endpoints for RAG queries, document ingestion, database clearing, and a landing page with an embeddable chat widget.

feat: Implement initial multi-hop RAG agent with core nodes, prompts, and SoftMania dataset.

introduce centralized configuration for database connections, LLM, and embedding models.

docs: Update app_port in README.

feat: Implement a FastAPI server with endpoints for health checks, document ingestion, RAG queries, and database clearing.

feat: Update default application port to 7860 and adjust Docker entrypoint to run `main.py` for model pre-downloading.

feat: Add hybrid retriever node that combines semantic vector search with 1-hop graph traversal.

docs: add initial README for Advanced Multi-Hop RAG API.

ci: add GitHub Actions workflow to synchronize the repository with Hugging Face Hub.

Add GitHub Actions workflow for syncing to Hugging Face Hub.

add GitHub Actions workflow to sync repository to Hugging Face hub.

ci: add GitHub Actions workflow to sync repository to Hugging Face Hub.