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In part 9, we break down the practical benefits and limitations of both closed-source and open-source embedding models to help ...

Vector databases are a key part of modern AI systems like ChatGPT, semantic search, and recommendation engines. In this video ...

Vector databases are quickly becoming AI's new engine, powering semantic search, retrieval-augmented generation (RAG), ...

Ever wondered how AI can search smarter than Google and find the right meaning even when your words are different? That ...

Nelson University needed a better way to help students, alumni, and donors find answers across a website with thousands of ...

Choosing a vector database for a RAG app? Follow a simple checklist and a tiny portable interface to prevent brittle retrieval and ...

... strategic overlapping (think multiple files with interconnected paragraphs) Qdrant.tech – Host your vector database with the data ...

... pass, you must demonstrate mastery in agent architecture, React frameworks, RAG pipelines, and vector database optimization.

Vector Databases (like Pinecone or Weaviate) store Embeddings, allowing you to search for conceptual similarity in ...

... What vector stores / vector databases are Why FAISS is used and how it works How LangChain simplifies embedding creation ...

... embeddings, vector databases, retrieval, and generation • How embeddings and semantic search work • How vector databases ...

For Googler-lead sessions, REGISTER: https://codevipassana.dev Code Vipassana Season 13 Session 3 Codelab: ...

For many teams, AI today looks like: • Asking questions and getting text responses • RAG systems that search a vector database ...

If you're aiming to work in Data Science, here are five projects that will genuinely prepare you for the job market in 2026. And no- ...

How do you handle long-term memory with vector databases? And crucially, how do you implement the guardrails and ...

Using Valkey and Redis as vector databases, it walks through how embeddings, similarity thresholds, and TTLs work together to ...

... Chapters: 00:00 Introduction 01:24 RAG running in Production 04:13 Part 1: Data Ingestion 07:14 Part 2: Vector Database 08:34 ...

Breaking: Big announcements by MongoDB. I just spoke to Pete Johnson, Field CTO for AI at MongoDB on The Ravit Show.

Real-time analytics only works if the platform can keep up with change. That is exactly what CrateDB is designed for. What ...

... (LLM) ✓ LangChain (RAG pipeline) ✓ FastAPI (Backend API) ✓ Streamlit (Chat UI) ✓ ChromaDB (Vector Database) In this ...