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
…
2. Hybrid Search
3. Contextual Compression
TOOLS
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Advanced Retrieval Strategies for AI Systems
By
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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 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 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 -
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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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/
… Recap -
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://
therundown.ai/subscribe -
NotebookLM: Transform Your Notes into Structured Documents Instantly
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5. Change formats
— The Rundown AI (@TheRundownAI) 21 décembre 2023
NotebookLM also tools to help you organize your notes into structured documents.
Simply select a set of notes you’ve collected and ask NotebookLM to create something new, like a study guide or email newsletter. pic.twitter.com/JOalri8QU35. Change formats NotebookLM also tools to help you organize your notes into structured documents. Simply select a set of notes you’ve collected and ask NotebookLM to create something new, like a study guide or email newsletter.