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- New Weaviate Forum, Exploring FLARE, Ingesting PDFs…
New Weaviate Forum, Exploring FLARE, Ingesting PDFs…
🤗 Hi there,
Some interesting topics await us, so let's get straight into them...
New: Weaviate Forum
Introducing the Weaviate Forum. The aim is to make the Weaviate Forum the primary community knowledge repository and a place to get support for any Weaviate topics. This includes…
📚 Enhanced Organization: Threads are categorized, tagged, and easily revisited, providing a structured environment for discussions.
🔖 Efficient Issue Resolution: Mark topics as resolved and identify answered posts to address challenges effectively.
🔎 Smart Topic Suggestions: The Forum automatically suggests similar discussions, eliminating repetitive questions.
📝 Facilitating Long-Form Content: Share complex support queries, showcase projects, and fully exchange best practices.
✅ Granular Moderation: Enhanced moderation capabilities and user permissions for a safe and respectful environment.
Join the Weaviate Forum to learn, get help, and share your knowledge with other like-minded community members. We are already there waiting for you. 😉
Vector Data Tips, Tricks, and Tech…
How-To…
✍️ Ingesting PDFs into Weaviate
A demo on how to ingest PDFs into Weaviate using open source building blocks from Unstructured.
By Erika Cardenas
🎥 Active Retrieval Augmented Generation (FLARE) Explained!
Weaviate Research Scientist Connor Shorten takes us on an exciting journey into Active Retrieval Augmented Generation from Jiang et al. Explore the intricate details of constructing cutting-edge retrieval-augmented generation pipelines, seamlessly connecting Weaviate with Large Language Models. Connor's in-depth explanation provides invaluable insights into this groundbreaking innovation.
For a deeper understanding of specific aspects of the paper analysis, we invite you to follow the links below.
📚 Related research:
Also, we want to congratulate Connor on achieving his CS Ph.D. and becoming Dr. Connor! 🎓🎉
New AI & Data Tech…
🎙 HyperDB with John Dagdelen, Bob van Luijt, and Etienne Dilocker - Weaviate Podcast #46
Watch the interview with John Dagdelen, founder of HyperDB, and both Weaviate Co-Founders.
HyperDB is a hyper-fast local vector database for use with LLM Agents.
🎙 ChatArena with Yuxiang Wu - Weaviate Podcast #47
We explore ChatArena, a software framework for multi-agent chat games, discussing its applications in evaluating LLM intelligence and simulating conversations between notable individuals using digital content retrieval.
🎙 Unstructured with Brian Raymond - Weaviate Podcast #48
Brian Raymond, the CEO/Founder of Unstructured, we discuss how Unstructured complements Weaviate by helping users integrate their unstructured data.
🎙 Neurosymbolic AI in Search with Professor Laura Dietz - Weaviate Podcast #49
Learn about Neurosymbolic AI in Search, Knowledge Graphs, and using LLMs for query relevance annotation, with Professor Laura Dietz.
Weaviate Air is a monthly round-up video of research insights, feature previews, live demos, Q&A sessions, and more - join us on YouTube every first Wednesday of the month.
🎙️The topics we discussed during this month’s Weaviate Air:
PrivateGPT – with a live demo
Ingesting unstructured data – with a PDF demo
Weaviate Recipes
Weaviate Forum
New HowTo Docs
Events
Upcoming events
🗓️ AWS Summit in Amsterdam – June 1, 2023
🎤 Building a Multi-tenant Open Source SaaS Vector Database – Byron Voorbach, Weaviate. Alessio Nobile, AWS.
🗓️ JSNation 2023 – in-person on 1 June in Amsterdam or virtually on 5 June
🎤 “Bring AI-based search to your web app” – Sebastian Witalec, Weaviate
🤩 Find us at booth P4
🗓️ Berlin Buzzwords 2023 – in-person on June 18-20 2023
🎤 “From keyword to vector - a personal journey” – Byron Voorbach, Weaviate.
New Weaviate Developer Relations Team Members!
We welcome two exceptional individuals to the Weaviate team! Philip and Edward bring unique skills, expertise, and fresh energy to Team Weaviate. We couldn't be more excited to have them on board.
Thank you for reading
More updates in two weeks. 🤗
Best,
Femke