Codestin Search App

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
current_work		current_work
data		data
rag		rag
retriever_agent		retriever_agent
sample_documents		sample_documents
server		server
.DS_Store		.DS_Store
.gitignore		.gitignore
README		README
another_test.py		another_test.py
eng.traineddata		eng.traineddata
hello.ipynb		hello.ipynb
lama_pathway.ipynb		lama_pathway.ipynb
lang_chain.py		lang_chain.py
langchain-integration.ipynb		langchain-integration.ipynb
llama_pathway.py		llama_pathway.py
llm_test.py		llm_test.py
main.py		main.py
mistral_adaptive_rag_question_answering.ipynb		mistral_adaptive_rag_question_answering.ipynb
open_parse.py		open_parse.py
poetry.lock		poetry.lock
pyproject.toml		pyproject.toml
retriever.py		retriever.py
search.py		search.py
test.py		test.py
trial.py		trial.py
try.ipynb		try.ipynb

Repository files navigation

The repo consists of various hits and trials to use pathway and create a basic RAG infrastructure


Current Success:
Directory ```current_work``` has 3 files
1) anothet_llama.py : server having VectorStoreServer listens at a local host and port
2) custom_llm_chat.py: custom llm chat which basically mimics LiteLLM 
3) new_retriver.py: VectorStoreClient , which gets the context and then uses customLLMchat to get the final value.


```data``` contains the data , feel free to add files of various formats and test it.


Please install libmagic in your system for ParseUnstructured.