try the upscaler It should help more
TOOLS
-
Midjourney V6 Alpha Testing Launches with Improved Coherence
By
–
We're now alpha-testing our V6 models Midjourney. Just type /settings and click V6 or add –v 6 after your prompt. Image coherence and prompt understanding are greatly improved. You can draw text and dolphins and there's new upscalers too. Happy holidays everyone!
-
Mistral AI API Integration with LangChain Now Available
By
–
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
-
Advanced Retrieval Strategies for AI Systems
By
–
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 -
Top Embedding Providers: OpenAI, HuggingFace, Vertex AI and More
By
–
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
By
–
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 -
LangChain Expression Language Rises as Easy Chain Composition Tool
By
–
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
… -
Most Used LLM Providers in 2026
By
–
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
By
–
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
By
–
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