Integration of Vector Database. about gpt-3.5-on-steroids

[steve2700]

can you assign this issue to me

[steve2700]

Understand the types of data the AI agent needs to store, retrieve, and manipulate. Identify specific use cases where the long-term memory will be utilized. also you havent included more steps for this projects

[programmingninjas]

@steve2700 what do you mean by more steps? Yes i can assign this to you

[steve2700]

Providing more information on this issue so it can be smooth

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On Wed, 3 Jan 2024, 01:01 Ayan Khan, ***@***.***> wrote: Assigned #12 <#12> to @steve2700 <https://github.com/steve2700>. — Reply to this email directly, view it on GitHub <#12 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A2WYDFCLOPU4OSPMPMALKBTYMSGWNAVCNFSM6AAAAAA5344QWGVHI2DSMVQWIX3LMV45UABCJFZXG5LFIV3GK3TUJZXXI2LGNFRWC5DJN5XDWMJRGM3TINBWGA3DMNA> . You are receiving this because you were assigned.Message ID: <programmingninjas/GPT-3.5-ON-STEROIDS/issue/12/issue_event/11374460664@ github.com>

[programmingninjas]

I attached a reference for you to read. Also i don't know much about Vector databases that's why i can't else i would have done it myself.

Answering these:
Understand the types of data the AI agent needs to store, retrieve, and manipulate. Identify specific use cases where the long-term memory will be utilized.

AI agent will store all the information that it is storing using write_to_file function in the database and retrieve it using read_file. Long term memory use case:
As there is a token limit and LLM can't remember past convo. It will be helpful to reference vector database in such cases.
Example: I got some error during the execution and i give it the same task again. So it will do whole computation from the start
we can avoid this using long term memory management.

[steve2700]

Thanks, I'll take a look.

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On Wed, 3 Jan 2024, 15:23 Ayan Khan, ***@***.***> wrote: I attached a reference for you to read. Also i don't know much about Vector databases that's why i can't else i would have done it myself. Answering these: Understand the types of data the AI agent needs to store, retrieve, and manipulate. Identify specific use cases where the long-term memory will be utilized. AI agent will store all the information that it is storing using write_to_file function in the database and retrieve it using read_file. Long term memory use case: As there is a token limit and LLM can't remember past convo. It will be helpful to reference vector database in such cases. Example: I got some error during the execution and i give it the same task again. So it will do whole computation from the start we can avoid this using long term memory management. — Reply to this email directly, view it on GitHub <#12 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A2WYDFB3FX3KZAHS6VDHOR3YMVLU5AVCNFSM6AAAAAA5344QWGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQNZVGM3DMNZQGM> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[programmingninjas]

@steve2700 any updates?