This is the NLP Engine for ChatFAQ. It is divided in two modules:
- Information Retrieval: This module is responsible for retrieving the most relevant answer to a given question.
- Chatbot: This module is responsible for generating a response to the given question based on the retrieved answer and chat with the user.
The Retriever is the main class for the information retrieval system. It takes as input a question (query) and a context and returns the most relevant sentences from the context to the query. This is done using embeddings and the dot product to compute the similarity between the query and the context sentences.
The RetrieverAnswerer is the main class for the chatbot. It takes as input a question (query) and a context and returns a response to the query. This is done by first retrieving the most relevant sentences from the context to the query and then generating a response based on the retrieved sentences.
add repository to poetry config
poetry config repositories.test-pypi https://test.pypi.org/legacy/
get token from https://test.pypi.org/manage/account/token/
store token using
poetry config pypi-token.test-pypi pypi-YYYYYYYY
get token from https://pypi.org/manage/account/token/
store token using
poetry config pypi-token.chat-rag pypi-XXXXXXXX
Each time you need to publish
Bump version
poetry version prerelease
or
poetry version patch
Then build
poetry build
To TestPyPi
poetry publish -r test-pypi
To PyPi
poetry publish