Struggling with reliable data for your AI systems?
Discover how @origin_trail's Decentralized Knowledge Graph and #Milvus#VectorDatabase can solve this challenge. Learn to build trusted #AI with semantic search! 🚀
Join our webinar on Sept 7th 👇
😓 Struggling with unreliable data in your #AI systems?
Learn how @origin_trail Decentralized Knowledge Graph + Milvus can help you build hallucination-free semantic search applications on Sep 7th at 9:00am PST.
✍️ Register for the webinar here 👇
Join me for a webinar with the team from OriginTrail as we talk about how to Build hallucination-free semantic search applications with OriginTrail and Milvus! September 7th at 9:00 am Pacific. Grab your spot today!
buff.ly/3qOhLc1
Introducing Milvus 2.5 with built-in full-text search capabilities and more! 🔍 Here’s the TLDR on new updates:
🔎Built-in full-text search with Sparse-BM25
💬Advanced text matching using Tantivy's analyzers & Indexing
🏃New Bitmap indexing for faster filtering
+More!
Links
🎉 A new Milvus is here! Milvus Lite is an easier way to get started with vector search. Simply pip-install pymilvus on your laptop or notebooks. When you’re ready to migrate your prototype to production, the shared API makes it easy. Learn more 👉 milvus.io/blog/introduci…
To create successful #LLM-powered apps developers must address the twin issues of "hallucinations" and "amnesia".
@langchain + #Milvus might be just what the doctor ordered 💊
See how it works ⬇️ bit.ly/3NN6p0u
👍 DSPy is good at dynamically adapting prompts and fine-tuning language models.
💪 Milvus is good at high-performance semantic similarity search.
👉 DSPy and Milvus together make highly efficient RAG pipelines.
Read more: bit.ly/3wopS1V
How can we guarantee the reliability of information and cultivate more trustworthy #AI systems? Join us on September 7th to delve into the synergy between @origin_trail Decentralized Knowledge Graph and @milvusio#vector database, that seamlessly empower the semantic search of
😵💫 🥶 Are you lost in RAG, Self-RAG, Agentic RAG, Corrective RAG, Adaptive RAG, ... until We draw this workflow.
1/ Standard RAG
The foundation - retrieves documents based on similarity and generates responses. Simple, fast, but limited feedback loop.
2/ Self-RAG
Adds
Have you registered for the @zilliz_universe webinar on Sep 7th?
Join us for a deep dive into building reliable #SemanticSearch apps with @origin_trail and #Milvus. Learn about Trusted Knowledge Assets, semantic search, and SDKs for knowledge apps. 👇
Join @yujian_tang, Developer Advocate at @zilliz_universe to discover how Milvus can power #LLM applications.
Plus, catch an engaging demo on building with Milvus, @origin_trail Knowledge Assets, and the new DKG #Python client. 👇