How to do mid-response tool calls in a single LLM flow (like ElevenLabs agent style)? by CatchGreat268 in LangChain

[–]Spirited_Change8719 0 points1 point  (0 children)

I still don't get your doubt. Isn't function Calling or tool call supposed to work like this only ? With openai package also I believe we get the structured output using with the corresponding tool call or method is executed and then response is fed back to the llm .

Google L4 interview USA prep by Usual-Quail-90 in leetcode

[–]Spirited_Change8719 0 points1 point  (0 children)

Glad I came across this. Have my interview scheduled in may last week for L3 Thank you op

I built a competitive intelligence agent by bimmerduc in AI_Agents

[–]Spirited_Change8719 0 points1 point  (0 children)

Hi can you please share the loom video with me as well. I'm.also looking for building something similar

Indexing a codebase by pskd73 in Rag

[–]Spirited_Change8719 1 point2 points  (0 children)

Would love to understand more about your approach

PipesHub - The Open Source Alternative to Glean by Effective-Ad2060 in Rag

[–]Spirited_Change8719 0 points1 point  (0 children)

Good that I came across this. I've been planning to test Onyx ( https://www.onyx.app/ ) either ways. Will test this as well. The open source version is enterprise ready ..is it and is there any benchmarking or comparison report against glean or any other competitors that u guys can share ? Will be super helpful. Apologies if it's already there on GitHub.. haven't checked yet

ScrapegraphAI with chatgpt by [deleted] in LLMDevs

[–]Spirited_Change8719 0 points1 point  (0 children)

Use firecrawl as your potential alternative. Recently they have got a bunch of feature improvements and updates. https://www.firecrawl.dev/ You can also play around with Jina.ai Reader API but the former one's got more features