databerry
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The no-code platform for building custom LLM Agents
Github -> GitHub
Getting below error on few pdf files: ````shell The browser/environment lacks native support for critical functionality used by the PDF.js library (e.g. `Path2D` and/or `ReadableStream`); please use a `legacy`-build instead....
Getting this error when adding datasources .. Any fix ? FATAL ERROR: MarkCompactCollector: young object promotion failed Allocation failed - JavaScript heap out of memory
How can this be done? - attach metadata to the each document - query over multiple data source names in langchain. This can be helpful over organising multiple documents under...
It seems there's already an existing password field placeholder, but doesn't seem to be used in the code/sign in flow. At the moment it's just sign in through email link.
Serverless Function "api/datasources/check" is 59.42mb which exceeds the maximum size limit of 50mb
Deploying on Vercel errors out with "The Serverless Function "api/datasources/check" is 59.42mb which exceeds the maximum size limit of 50mb."
SerpAPI: Install requirements with pip install google-search-results Get a SerpAPI api key and either set it as an environment variable (SERPAPI_API_KEY) or pass it to the LLM constructor as serpapi_api_key....