refactor retriever

refactor the services to be plugable

add db path support in yaml config

fine-tune the vector store for extension

import real gemini embeddings

add toggle on client side to enable or disable faiss db retriever

add log level in the config

env prioritize than yaml input

support switch model in between

support chat history

introduce the session into the frontend api

introduce the delete document funcs

introduce the yaml for configuration

further refactor

fix typo

refactor db creation & centralize the config.py

refactor

refactor code

introduce chain of throught

add dspy

Refactor core structure and add new RAG modules

Add database and model to the project

Refactor the code structure to allow using both gemini and Deepseek.

first commit