MistralAI API We’re excited to announce the new langchain_mistralai package today which lets you use Mistral’s new hosted API in LangChain! Mistral’s Open Source models have impressed us along with many others, and we’re excited about making it even easier to get started
LLMS
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Most Used Evaluation Metrics for AI Model Assessment
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Most used evaluation metrics We see that most people still care primarily about correctness (and not other guardrails like toxicity or prompt injection) https://
docs.smith.langchain.com/evaluation/eva
luator-implementations
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Advanced Retrieval Strategies for AI Systems
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Top Advanced Retrieval Strategies We primarily see people rolling their own retrieval, speaking to need to customize retrieval for each use case. Of general strategies, we see: 1. Self Query https://
python.langchain.com/docs/modules/d
ata_connection/retrievers/self_query
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2. Hybrid Search
3. Contextual Compression -

Testing LLM Applications: Metrics and Evaluation Methods
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How are people testing? Testing LLM Apps is hard. How are people doing it? 1. We see that 83% of test runs have some form of feedback, suggesting that most people are finding some metrics to eval (rather than just eyeball) 2. We see an average of 2.3 feedback per run,
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Top Embedding Providers: OpenAI, HuggingFace, Vertex AI and More
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Top Embedding Providers 1. @OpenAI 2. @huggingface 3. Vertex AI
4. Azure
5. @cohere 6. GPT4All
7. Amazon bedrock
8. @OLLAMA -

Most Used Open Source LLM Providers Ranked
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Most used OSS LLM providers 1. @huggingface 2. @thefireworksai 3. @OLLAMA 4. LlamaCpp
5. @replicate 6. GPT4All
7. @togethercompute 8. @anyscalecompute -

Most Used LLM Providers in 2026
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Most used LLM Providers 1. @OpenAI 2. Azure Open AI
3. @AnthropicAI 4. @huggingface 5. Vertex AI
6. @thefireworksai 7. @OLLAMA 8. AWS Bedrock -

Retrieval Dominates LLM Usage: 42% of Complex Traces Use Retrievers
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What are people building? We see that retrieval is emerging as a dominant trend, with 42% of complex traces involving a retriever. By comparison, only 17% involve an agent We also see that 15% of our usage comes from people NOT using LangChain
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LangChain State of AI 2023: Real Usage Data Analysis
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LangChain State of AI 2023 What are people building? Which LLMs are they using? Which vectorstores are they using? How are they testing? We turn to anonymized usage stats from LangSmith to answer these questions with real data. Blog: https://
blog.langchain.dev/langchain-stat
e-of-ai-2023/
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Advanced AI Guide with ChatGPT Prompts and Tools Free
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If you found this useful, you'll love out Advanced AI guide.
— The Rundown AI (@TheRundownAI) 21 décembre 2023
It includes 1000+ best ChatGPT prompts, 100+ AI tools, and 25+ AI tool tutorials just like this one.
Auto-sending it free for December to new subscribers in our newsletter: https://t.co/enaN7WA2d8 pic.twitter.com/np81Lpjh3TIf you found this useful, you'll love out Advanced AI guide. It includes 1000+ best ChatGPT prompts, 100+ AI tools, and 25+ AI tool tutorials just like this one. Auto-sending it free for December to new subscribers in our newsletter: https://
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