Prefect client prep for langchain

services/rag/llamaindex/PLANNING.md

@@ -47,8 +47,12 @@ Chosen data folder: relatve ./../../../data - from the current folder
 
 - [x] Add log of how many files currently being processed in enrichment. We need to see how many total to process and how many processed each time new document being processed. If it's possible, also add progressbar showing percentage and those numbers on top of logs.
 
-# Phase 8 (chat feature, as agent, for usage in the cli)
+# Phase 8 (comment unsupported formats for now)
 
-- [ ] Create file `agent.py`, which will incorporate into itself agent, powered by the chat model. It should use integration with openai, env variables are configure
-- [ ] Integrate this agent with the existing solution for retrieving, with retrieval.py, if it's possible in current chosen RAG framework
-- [ ] Integrate this agent with the cli, as command to start chatting with the agent. If there is a built-in solution for console communication with the agent, initiate this on cli command.
+- [ ] Remove for now formats, extensions for images of any kind, archives of any kind, and add possible text documents, documents formats, like .txt, .xlsx, etc.
+
+# Phase 9 (integration of Prefect client, for creating flow and tasks on remote Prefect server)
+
+- [ ] Install Prefect client library.
+- [ ] Add .env variable PREFECT_API_URL, that will be used for connecting client to the prefect server
+- [ ] Create