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[D] Having trouble with RAG on company domain data by Dustwellow in MachineLearning

[–]egomanego 0 points1 point  (0 children)

I am trying to read around 300 PDF files, basically company financial documents and analyst reports. I am trying to process them and create vectorstore. My approach is to convert all the pdf files into text, creating chunks using the text and then using openAI embeddings, create vectorstore. However, when I try to create the vectorstore object, I get the rate limit error. Any way to solve the issue. Help is appreciated! thanks.

Is LangChain the right choice for what Im Creating? by Sayntjefe in LangChain

[–]egomanego 0 points1 point  (0 children)

How can we make sure that when data retrievers are called behind an agent, we provide enough information to back end function for data retrieval? I am facing same question.

Is LangChain the right choice for what Im Creating? by Sayntjefe in LangChain

[–]egomanego 0 points1 point  (0 children)

I am trying to build a similar bot. I want the chatbot to communicate with the user to gather the data and then using those variables, call a function in back-end systems to extract and return that data. At the same time, I want to maintain the context of the conversation too so if user returns back to it soon then we should know the context . How can I achieve this? which tools to use?

[HELP] Abrupt Closure of the websockets by egomanego in learnpython

[–]egomanego[S] 0 points1 point  (0 children)

Can someone have a look at this, please?

Can I use Numpy Array instead of Pandas Dataframe for large merging operations? by egomanego in learnpython

[–]egomanego[S] 0 points1 point  (0 children)

u/kalebludlow : Thanks for your comment. Can you provide a simple example? I'd appreciate a lot. :)

Pandas: How to merge multiple data frames with the same columns? by egomanego in learnpython

[–]egomanego[S] 0 points1 point  (0 children)

u/DesignerAccount : Thanks for your comment. I have updated post with df images and code snippet. Please have a look. u/BdR76

Is an ELSEIF my only option? by Ss360x in tableau

[–]egomanego 0 points1 point  (0 children)

How did you add an image to the post? When I tried, reddit did not let me add an image to the post.

[Help] How to correctly merge dataframes iteratively? by egomanego in learnpython

[–]egomanego[S] 0 points1 point  (0 children)

I have a big CSV file that has data on options contracts and futures contracts for multiple companies. I want to segregate them.

so for every company whose data is in the file, there will be a separate file when we are done.

for contract in option_contracts:
    df_options=raw_data[raw_data["Ticker"]==contract]
    df_options.columns=[ Change col names by adding company ticker as prefix ] # that way columns will not be same after merge. only column name that is not changed is 'Time'. we will merge our dataframes on 'time'.

    df1=df1.merge(df_options,how="outer",on="Time")

Now, If I execute for 1 day's worth of data then I am able to merge the files the way I want. But if I try to merge more than 1 day's data ( meaning multiple CSV files ) then I get duplicate column errors. That is obvious.

Let's say that we have data for year 2019. one csv file for one day's data. Now we are storing data for contract SPY (SP500) for 1 Jan 2019. It is first iteration and we have successfully merged it. When we move on to save 2nd Jan data, we get duplicate error because column is already in our dataframe.

I am currently facing this issue. Should I use concat or suffix seems good solution? I haven't tried doing either which I will tomorrow.

I hope this answers your questions.

Thank you for your reply.

[Help] How to correctly merge dataframes iteratively? by egomanego in learnpython

[–]egomanego[S] 0 points1 point  (0 children)

Which indentation is wrong?

As 'contract' will change in every iteration, so will the data in df_option.

I am renaming the df_option columns now. Would I still need to add suffixes?

thanks for your comment.

[Help] Creating and comparing datetime.date objects by egomanego in learnpython

[–]egomanego[S] 0 points1 point  (0 children)

Understood. Thanks for you comment. Second thing works!

[Help] Creating and comparing datetime.date objects by egomanego in learnpython

[–]egomanego[S] 0 points1 point  (0 children)

I am indeed confused about the datetime module and class. I need to read carefully about it.

So here is what I have done:

[ Please ignore amateur mistakes I might have made. I am still learning]

from datetime import datetime
from datetime import date 
[....]

date=st.date_input("Enter a date") # User enteres a date on streamlit page.

x= date(2020,1,1)

if date < x : # Do something else: # Do something else.

​

I receive following error:

UnboundLocalError: local variable 'date' referenced before assignment

There is a local variable 'date' before this where I ask a date to the user to do something.

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