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Commit History
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Updated code with greeting support Running
0d1bcfb
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Update date and time to UTC format
e229be8 -
Updated code for saving temp directory for google drive documents.
a1de13c -
Updating with CORS
e36537f -
debuging CORS policy
23871f0 -
fixed comma issue
6c372c4 -
added front end url to cors
c5b5569
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Updating chroma db to be singleton class
6082154 -
Updating path for chroma_db
7e7ab71 -
Updating path for chroma_db
ed035f0 -
Updating path for chroma_db
420ffd6 -
Updating path for chroma_db
7e85abb -
Updating path for chroma_db
d3c044c -
Fix upload path to be part of environment vairiable
3508d64 -
Fix upload path to be part of environment vairiable
92cce12
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1) Log google drive documents entry in mongo db
2) changed the embedding model to "BAAI/bge-large-en-v1.5"b08d8ce
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Sorted the documents list in descending order
37a7e05 -
Log google drive documents in the mongodb, add source of the document and made chunks to overlap text.
acdfaa9 -
Updated CORSMiddleware for render server
1a54bda -
Changed 'EMBEDDING_MODEL', 'all-MiniLM-L6-v2' for produciton also.
3a56021
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Updated with port and issue fixed
uvicorn src.main:app --host 0.0.0.0 --port $PORT5bfdeda -
Commiting code
70f9f82 -
changed the bart model from large to base
82b8aa2 -
Updated embedding to produciton, changed the depenedency for magic library
c2e0ca0 -
Update deployment constraints for python-magic-bin
184c9ab -
Updarte chatbot with deployment configurations on the Render
415595f
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DOne some testing and fixed the retrieving context by date.
f36ab64
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Changes to be committed:
modified: chroma/5c23c332-257c-4409-8a58-767cdd7c3dea/length.bin modified: chroma/chroma.sqlite3 modified: config/__pycache__/config.cpython-312.pyc modified: src/__pycache__/main.cpython-312.pyc modified: src/agents/__pycache__/rag_agent.cpython-312.pyc modified: src/agents/__pycache__/system_instructions_rag.cpython-312.pyc modified: src/agents/rag_agent.py modified: src/agents/system_instructions_rag.py modified: src/utils/__pycache__/drive_document_processor.cpython-312.pyc modified: src/utils/__pycache__/enhanced_excel_processor.cpython-312.pyc modified: src/utils/__pycache__/google_drive_service.cpython-312.pyc modified: src/utils/drive_document_processor.py modified: src/utils/enhanced_excel_processor.py modified: src/utils/google_drive_service.py modified: src/vectorstores/__pycache__/chroma_vectorstore.cpython-312.pyc modified: src/vectorstores/chroma_vectorstore.py new file: temp_downloads/17he27jN4louYr1xOYASf4BP2e-tGTICt.xls…be32fd8
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Implementation for Google drive is done. Now it is working fine, except need a new function that can delete the chunks if a document is removed from google drive.
aee2bfd
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Enhanced the support for the excel file and added endpoint to have optimized vector store and Rag for the Excel.
b953016
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Working chat with context and history
9700f95
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Setup completed
406f1ed
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This is a test commit
3ea83cb -
Commit chatbot chnages
0739c8b
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Updated Knowledge base with Upload, get and delete endpoints
4daad35
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Update knowledge upload api and linked chromadb to mongodb
d161383 -
Refactoring code
e9d730a -
Added support for multiple LLMs
- Modified `.vscode/settings.json` for updated linting and formatting settings. - Added `Chatbot-design.png` for design reference. - Added `chat_history.db` for storing chat history. - Added `chroma_db/chroma.sqlite3` for Chroma vector store persistence. - Updated `src/agents/rag_agent.py` to support multiple LLMs. - Updated `src/embeddings/__init__.py` for embedding initialization. - Added compiled Python files to `.gitignore`.e87abff
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initial commit
640b1c8