ACORN for 10x faster filtered vector searches
How can AI and teachers revolutionize education together?
ANN Algorithms in a nutshell
AI Agent Optimization: Understanding the 'Pareto Frontier'
How to set up Weaviate Embedded with Python
What is HNSW?
Vector Indexing Explained in 60 Seconds
AI that optimizes itself? 🤔
Range Index
Vector Embeddings
Embedding Model
An AI-Native Approach to App Development
Reranking Model Comparison
New RAFT Consensus in 1.25
Unstructured Data Objects
Parsing Your Data
MIT student Josh Engels on studying Approximate Nearest Neighbor Search!
Zain and JP talk about vector quantization
Kyle from RAGKit and Connor about RAG, knowledge Ggraphs, and agents
Fine-tuning vs Prompt-tuning
How to pick the best LLM
What is a Vector Database?
Weaviate 1.25 | Release Announcement
Named Vectors in Weaviate 1.24!
Generate multimodal datasets for your demos, Proof of Concept (PoC), or project with Generator9000!
Performance Enhancements in Weaviate 1.24
What advice do you get at Y Combinator when you want to pivot? #ycombinator #pivot #aipodcast
Exploring the AI Renaissance with Angelina
Weaviate 1.24 | Python V4 Client
Weaviate 1.24 | Release Announcement
Exploring the AI Renaissance with Aamir: The future of AI
Exploring the AI Renaissance with Jodie: Weaviate, vector databases, and the future of AI
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This channel is about all topics around vector search, and about the open-source vector database Weaviate.
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