LangSmith
LangChainReviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
35 reviews
from
External reviews are not included in the AWS star rating for the product.
Brief review of LangChain
What do you like best about the product?
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
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
It is the primary package I use to develop Generative AI based applications, it does everything related to that field so it solves most of the problems faced in the field of LLMs and Generative AI.
Creating RAG with the help of Langchain is easy infact i have built a rag product for my company
What do you like best about the product?
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
What do you dislike about the product?
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
What problems is the product solving and how is that benefiting you?
So recently i created the product using langchain, so the issue was the employes have to do hard work to find a specific id through various types of documents so i had created a RAG pipeline where instead of doing all the hard work and just ask the question what they required from the documents with all metadata like pagenumbers etc.., this solved the problem big thanks to langchain comunity for this opensource
Good framework for handling LLMs
What do you like best about the product?
Easy Handel and productive options for usage made faster execution
What do you dislike about the product?
Nothing as of now as we use it didn't face any issues
What problems is the product solving and how is that benefiting you?
Legacy way of handling LLM is handled now with langchain
Langchain - LLM + RAG + TOOLS
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
Langchain integrates APIs, Tools, InMemoryCache, and supports multiple Agents, Multiple LLMS, Multiple VectorDBs, Multiple conversations, and retrieval chains. Langchain helps to make AI/ LLM Agents that can Work together in research, in automation as well and in creating solutions using tools that can connect to the internet as well as to databases. We can make our own custom LLM that can work on provided data using open or closed-source LLM's APIs.
Powering LLMs
What do you like best about the product?
Langchain is almost a fundamental for any build I do with AI. It really is the oil that greases the wheel.
What do you dislike about the product?
Hard to think of something outside its natural complexity to dislike.
What problems is the product solving and how is that benefiting you?
Connecting LLMs together is a key feature in most of our builds. It would be impossible without Langchain
showing 31 - 35