Top Embedding Providers 1. @OpenAI 2. @huggingface 3. Vertex AI
4. Azure
5. @cohere 6. GPT4All
7. Amazon bedrock
8. @OLLAMA
@langchain
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Top Embedding Providers: OpenAI, HuggingFace, Vertex AI and More
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Most Popular Vectorstores and Vector Databases 2026
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Most Used Vectorstores Dominated by local vectorstores:
1. @trychroma 2. FAISS
4. @qdrant_engine 5. DocArray Vector-native databases next most popular
3. @pinecone 6. @weaviate_io Other Databases
7. PGVector
8. @supabase 9. @neo4j 10. @Redisinc 11. Azure
12. @AstraDB -
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 -
LangChain Expression Language Rises as Easy Chain Composition Tool
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LangChain Expression Language Usage of LangChain Expression Language has been on the rise, as its emerged as an easy way to really compose chains together https://
python.langchain.com/docs/expressio
n_language/?ref=blog.langchain.dev
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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 -
LangSmith: Debugging and Production Monitoring for AI Applications
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All stats are taken from LangSmith, from 2023-07-02 to 2023-12-11 http://
smith.langchain.com We see people using it for everything from debugging, to production monitoring, to testing & evaluation -
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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Getting Started with Visual Assistants: Templates and Video Overview
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Getting started with visual assistants: templates + video overview Visual assistants will be an important theme in 2024 as multi-modal LLMs gain wider adoption and more capabilities. In case you want to explore multi-modal LLMs over the holidays: we've released 5 new
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LLM Tool Use Benchmarking: OpenAI Claude Mixtral Mistral
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Which LLMs are best at using tools? OpenAI > Claude > Mixtral > Mistral Which others ones should we benchmark?