Improve performance with contextual compression, a technique where retrieved documents are compressed, and irrelevant information is filtered out.

Temporarily remove epub file loader for now

Use all-mpnet-base-v2 vector embedding for highest performance

Update app icon

Remove top bar

Add new app icon. Refactor and cleanup.

Handle epub loader

Refactor

Update app

Refactor

Add txt and docx file loader

Update app.py

Update app.py

Update UI

Refactor app with better Document retrieval embedding and better chat streaming

Update API key config

Update app

Fix configuration

Deploy

Refactor app using RunnableWithMessageHistory with better Prompt tuning

Update app

Handle secrets

Update config

Update app

Handle secrets management

Deploy app

Refactor app

Refactor app

Extract chat profile to class

Refactor to extract token stream handler

Deploy

Update chat

Update pysqlite3-binary package to run on cloud

Update client

Using langchain_openai to stream message

Update deps

More proper API key handle

Update deps

Update deps

Update

Use langchain_community package

Update app.py

Cleanup and reformat using Ruff

Improve flow

Update key config

Create .env to config key

Update UI and cleanup. Update demo screenshot.

Update README

Liftoff