Langchain vs semantic kernel reddit. I also use it for OpenAI Text-Ada.

Langchain vs semantic kernel reddit. I also use it for OpenAI Text-Ada. We would like to show you a description here but the site won’t allow us. Feb 5, 2024 · Confused between LangChain and Semantic Kernel? This short post will help you choose the most suitable framework for your RAG app. Both of them from what I've seen from code snippets allow you to define pieces of code that either call LLM online (or local?) with certain configuration (max tokens, temperature etc etc) and allow building agents by giving these pieces of code a description, then it's up to Is the main draw of Langchain the community do you think? I’ll check out semantic kernel. Thank you! Reply reply More repliesMore replies Appropriate_Ant_4629 • The thing with LangChain is that it solves the easy stuff you could do easily yourself, I read somethung about Microsoft Azure Semantic Kernel, which suspiciously felt like LangChain but with all the concepts renamed so not to feel like a exact copy There’s been a bit of time now for a few alternatives to come out to langchain. I'm currently trying to figure out what the best way forward is between either LangChain or the more closed-source Semantic Kernel+Guidance. Having started playing with it in its relative infancy and watched it grow (growing pains included), I’ve come to believe langchain is really suited more to very rapid prototyping and an eclectic selection of helpers for testing different implementations. Hi all. May 10, 2023 · LangChain has many agents, tools, plugins etc. Have you already switched (if you are working close to the Azure ecosystem)? Trying to decide between LangChain and Semantic Kernel for your next AI project in 2025? This video is your complete guide! Langchain/semantic kernel = Allow flow control and agents/planners. More over, LangChain has 10x more popularity, so has about 10x more developer activity to improve it. . Recently, LangChain's embedding model loader allowed me to incorporate the BGE Large and Base models in addition to SBERT all-mpnet-base-v2. Feb 20, 2024 · In this article, we delve into a comparative analysis of diverse strategies for developing applications empowered by Large Language Models (LLMs), encompassing OpenAI’s Assistant API, frameworks Feb 24, 2025 · Learn key differences between the AI frameworks Semantic Kernel and LangChain, including major features, integrations, and pros and cons. Thank you Further, I i use LangChain to keep memory: a ConversationMemoryWithBuffer allows the system prompt to contain information about "the conversion so far". Would like to gather some thoughts on the following, so as to decide how I should approach a new project: Langchain X semantic kernel - what are the general tradeoffs? Any impressions would be appreciated. I noticed that Microsoft used to officially support Langchain, but now tries to promote semantic kernel instead. out of the box. On other hand, Semantic Kernel architecture and quality is better, that's quite promising for Semantic Kernel. fyvhhw jolvrg jjz gukuf bvcj bhhyhwua setk yat xruql urgg