Langhain and ChromaDB Expert
223 USDEXPERT querying multiple files held on vector DBs and Google Drive using Langhain and ChromaDB
Context
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- We have hundreds of files on our Google Drive (max 600 and won't exceed this)
- These files are organized into a three-layer structure (parent folder, sub, subfolder)
- The files are a combination of PDF, Doc, TXT, Googlesheet, CSV, JSON
- We also have some information on pinecones BUT this information is restricted and should not be used everyday processing
The Challenge
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- We have a basic solution but its sub-optimal: slow and doesnt always reference the files correctly in a query
- The solution cannot access files held in googledrive sub folders
Tech Context
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1 ] To query/reference multiple files in a single chat session with openai
2 ] Query different data stores (e.g.google drive, local machine, pinecone) for different file for different use cases
The Goal and Scope
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1 ] Create a new OR update our current python code so that langchain can reference multiple sub-folders within our google drive and local machine
2 ] Query different data stores (e.g.google drive, local machine, pinecone) for different file for different use cases
Acceptance Criteria
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1 ] Solution must be optimised for speed
2 ] Solution must reference the files across our googledrive, weavate, pinecone and our local machine
3 ] Help our main developer integrate your code into his application
Out of Scope
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- GUI
- Data analysis
- Other applications
Expectations
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1] IMPORTANT : This is a FIXED TERM contract. Payment is upon successful delivery of the requirements - so....
2] You MUST be have done this type of work before [no exceptions please]
3] Join video calls with screensharing to collaborate succeed together
Deadlines
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3 working days
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вам нужно искать определенные файлы в гугл дисках?
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