Langchain Pros and Cons

Langchain is the best framework for building RAG applications its supports all find of Large Language Models that is both open-source like llama, mistral and closed-source models like OpenAI, and Anthropic using their Access token. It also supports using local LLMs using the Ollama. I build RAG application for our enterprise data using it , its very simple to build and it has many features like a chain of thoughts and memory. They have clean documentation which we can refer to and add more features. We can easily integrate with their other products like Langsmith and Langgraph Review collected by and hosted on G2.com.

I didn't feel any downside while using the Langchain but one thing is they have many version depecdences which will through error if you don't install the correct version. Review collected by and hosted on G2.com.

i really had fun building RAG with Langchain, the option it provides are really amazing it supports mullitple vendors model for llm for example openai, oolama, mistral ai if you want to go with open source models ofcourse huggingface is there for us well langchain support that as well, the implementation is really easy and about the documentation it is really good straight at point even a basic python language understanding coder can start with langchain in no time, i had integrated langchain with langflow that is also an amazing open source product Review collected by and hosted on G2.com.

Well i have no particular dislikes for langchain but as a beginer in langchain i had issue with respective dependency conflict between langchain and langchain community library and other dependecy conflicts other than that i think i have not faced that many issues such that i can say as my disliked towards langchain overall really amazing work from langhcain community Review collected by and hosted on G2.com.

I use langchain.js , and I like its composability and availablilty of different readers or database drivers with it Review collected by and hosted on G2.com.

I have nothing to dislike about it, Langchain is really a great product Review collected by and hosted on G2.com.

It is one of the best packages required to use Large Language Models in the field of Generative AI, it is easy to adapt and works like a charm and it keeps upgrading itself to be compatible with the latest technology Review collected by and hosted on G2.com.

Sometimes some feature might not be present in the latest version of langchain which was previously there, so we have to rewrite our code to match with the new version, if they could just support the older versions as well then it would have been better. Review collected by and hosted on G2.com.

now I can Connect Any number of LLMs with any Number of Tools. I am making Agents using Multiple Prompts. I can create and add memories to my conversational chain. I can read from PDFs as well as databases with different vector databases. I can also integrate LLMs like OpenAI, Mistral, Llama, etc with the Internet as well as with APIs It gets Additional Data. It's Easy to Use and Implement in code. Review collected by and hosted on G2.com.

I feel like the code written in Python for Langchain makes it a little slower. Also, there are restrictions in using OpenAI or Claude Function calling with langchain. Also, there are better faster solutions like Haystack. Review collected by and hosted on G2.com.

Easy Handel and productive options for usage made faster execution Review collected by and hosted on G2.com.

Nothing as of now as we use it didn't face any issues Review collected by and hosted on G2.com.

Langchain is almost a fundamental for any build I do with AI. It really is the oil that greases the wheel. Review collected by and hosted on G2.com.

Hard to think of something outside its natural complexity to dislike. Review collected by and hosted on G2.com.