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Langfuse
Hugging Face
OpenAI
Haystack NLP Framework
LangSmith
Ollama
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Smith.ai
Ruby Receptionists
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Aloware
Helpware
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LangChain
AnswerConnectBased on our record, LangChain seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an AI application to a person, the LLM would be the "brain," while LangChain acts as the "limbs" by providing various tools and abstractions. Combined, they enable the creation of AI... - Source: dev.to / about 2 years ago
Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / over 2 years ago
LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / over 2 years ago
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / over 2 years ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Smith.ai - Smith.a is one of the best virtual receptionist and chat services that offer phone calls, answer chats and take messages for you and your staff.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Ruby Receptionists - Ruby Receptionists is a live virtual receptionist and chat company used by various multinational organizations for the effective growth of the business.
OpenAI - GPT-3 access without the wait
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