Jun. 2022 |
Running Qdrant Clusters in Distributed Deployment Mode |
53qQNUsCx2M |
Jun. 2022 |
Qdrant 0.8.0 has been released! |
0Xn49-h_XEk |
May. 2023 |
Qdrant Vector Search in Rust | Arnaud Gourlay @ Rust Meetup Linz |
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May. 2023 |
Getting Started with Qdrant |
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Jun. 2023 |
Natural Language Processing with Qdrant for Vector Similarity Search |
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Jul. 2023 |
Image Classification with Qdrant Vector Semantic Search |
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Jul. 2023 |
Music Recommendation System with Qdrant Vector Search and Audio Embeddings |
id5ql-Abq4Y |
Jul. 2023 |
Qdrant Tutorial - Semantic Search for Beginners |
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Aug. 2023 |
Build a Semantic Search App with Qdrant Cloud |
_7UHWntKTbg |
Nov. 2023 |
Binary Quantization - Andrey Vasnetsov | Vector Space Talk #001 |
4aUq5VnR_VI |
Nov. 2023 |
Cohere Embed V3 - Nils Reimers | Vector Space Talks #002 |
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Nov. 2023 |
When music just doesn't match our vibe, can AI help? - Filip Makraduli | Vector Space Talks #003 |
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Nov. 2023 |
Beyond OpenAI: Exploring the Future of Models and their Expanding Capacities |
0F4ZX9WHdnI |
Nov. 2023 |
Unveiling the Power of Binary Quantization: Enhancing Dot Production and Cosine Similarity |
RQIoH6T5Oys |
Nov. 2023 |
Binary Quantization: Unlocking New Frontiers in OpenAI Model's Capabilities |
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Nov. 2023 |
FastEmbed: Fast & Lightweight Embedding Generation - Nirant Kasliwal | Vector Space Talks #004 |
e67jLAx_F2A |
Nov. 2023 |
High-Performance Entity Matching Solution - Rishabh Bhardwaj | Vector Space Talks #005 |
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Nov. 2023 |
Retrieval-Augmented Generation with Qdrant |
omWImklBBe0 |
Nov. 2023 |
Capturing the Vibe: Using Language to Convey the Feel of a Song |
_h4hwBtvOsI |
Nov. 2023 |
Exploring the Power of AI in Crafting Personalized Music Playlists |
C9Im8LJdoRo |
Dec. 2023 |
Querying a Language Model with Song Names |
GfyhGlgJcO4 |
Dec. 2023 |
Beyond Topic Similarity to Content Quality in Embeddings Using Covid-19 Symptoms Query |
XuB2SjA7TfQ |
Dec. 2023 |
Optimizing Vector Database Costs with Compression and Reduced Memory Footprint |
_gfwBQzJ0ik |
Dec. 2023 |
Boosting Model Performance with Compression Aware Training |
SNbTEkMwS38 |
Dec. 2023 |
Building LLM Powered Applications in Production - Hamza Farooq | Vector Space Talk #006 |
0N9ozwgmEQM |
Dec. 2023 |
Strategies for Meeting Latency, Cost, and Performance Criteria in Machine Learning |
kbxVNhAn7ck |
Dec. 2023 |
Optimizing AWS Lambda Performance with Reduced Docker Image Size and Faster Cold Start Times |
GoOfmOpQ4J8 |
Dec. 2023 |
Superpower Your Semantic Search Using Vector Database - Nicolas Mauti | Vector Space Talk #007 |
OSZSingUYBM |
Dec. 2023 |
Calibrating Thresholds for Effective Embedding Retrieval in Your Domain |
u50DEuJzLgU |
Dec. 2023 |
Custom Sharding | Qdrant 1.7.0 Explained! | Part 1 |
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Dec. 2023 |
Sparse Vectors | Qdrant 1.7.0 Explained | Part 2 |
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Dec. 2023 |
What is a Vector Database Discovery API? | Qdrant 1.7.0 Explained | Part 3 |
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Dec. 2023 |
Insights from Diverse Projects in Image Search and RAG - Noé Achache | Vector Space Talk #008 |
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Dec. 2023 |
How Language and Format Variance Impact Data Analysis and Decision Making |
7O3KEFqSjYQ |
Dec. 2023 |
HNSW vs. PG Vector IVF Flat: Accelerating Indexing Efficiency with Enhanced Accuracy |
T-Lx6lEHNmc |
Dec. 2023 |
Real-Time Data Processing: Navigating the Constant Influx of Information |
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Dec. 2023 |
Qdrant team offsite 2023 |
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Jan. 2024 |
Why Gen AI Projects Demand Rare UX Skills and Expertise |
_q7EAfO6Mqw |
Jan. 2024 |
The Reality of Hosting a Production System: Lessons from Chat GPT |
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Jan. 2024 |
Overcoming Complex Search Challenges to Ensure Inclusive Experiences and Accessibility |
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Jan. 2024 |
MLOps: Managing Risks and Ensuring Agreement Between Two Models |
iKN71WcU5TI |
Jan. 2024 |
Data Security in Action: Resilient Node Configurations |
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Jan. 2024 |
Qdrant Team Las Palmas Off-site 2023 Recap! |
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Jan. 2024 |
Indexify Unveiled - Diptanu Gon Choudhury | Vector Space Talk #009 |
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Jan. 2024 |
Qdrant x Dust: How Vector Search helps make work work better - Stan Polu | Vector Space Talk #010 |
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Jan. 2024 |
Precision and QPS Benchmark: Elasticsearch pgvector vs. Quadrants in PostgreSQL Extension |
OunCt1A3jdY |
Jan. 2024 |
Retrieval in Generative Language Model Workflows - Mikko Lehtimäki | Vector Space Talk #011 |
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Jan. 2024 |
Addressing Challenges in Image Matching: Focus on Attention Map Segmentation |
9s8Vt3yz9ew |
Jan. 2024 |
Object Focusing and Noise Disturbance: Off-The-Shelf Model Benefits |
Q7CXT1AZQbA |
Jan. 2024 |
Improving Model Accuracy by Factoring in Diverse Document Elements |
1h6AeP8xnXM |
Feb. 2024 |
Vector Search for Content-Based Video Recommendation - Gladys and Sam | Vector Space Talk #012 |
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Feb. 2024 |
The challenges in using LLM-as-a-Judge - Sourabh Agrawal | Vector Space Talk #013 |
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Feb. 2024 |
Insight Generation Platform for LifeScience Corporation - Hooman Sedghamiz | Vector Space Talks #014 |
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Feb. 2024 |
Embeddings, Similarity Search and Qdrant |
3UsluX0jryM |
Feb. 2024 |
Getting started with DSPy tutorial |
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Feb. 2024 |
Production-scale RAG for Real-Time News Distillation - Robert Caulk | Vector Space Talks #015 |
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Mar. 2024 |
Talk with YouTube without paying a cent - Francesco Saverio Zuppichini | Vector Space Talks #016 |
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Mar. 2024 |
Rag-Based App Optimization with Diptanu |
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Mar. 2024 |
Developer Potential Unlocked: Diptanu's Approach to Building Data Layer |
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Mar. 2024 |
Chatbot with RAG, using LangChain, OpenAI, and Groq |
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Mar. 2024 |
Best RAG to unleash the power of AI - Guillaume Marquis of VirtualBrain | Vector Space Talks #017 |
v85HqNqLQcI |
Mar. 2024 |
The Bitter Lesson: How Data, Compute, and Large Language Models Reshape Re-ranking |
3tEroK7GttA |
Mar. 2024 |
Data Access and Leakage: Strategies for Small Tech Companies to Stay Secure |
2_5MsAFJz5U |
Mar. 2024 |
How to meow on the long tail with Cheshire Cat AI? - Piero and Nicola | Vector Space Talks #018 |
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Mar. 2024 |
Exploring Qdrant concepts - Collections |
0sg7pJo0siU |
Mar. 2024 |
Enhancing Company Support and Adoption of GenAI: Best Practices |
Gbdveje0pI8 |
Mar. 2024 |
The Future of Autonomous Agents and Assistance in Technology |
7rpa02zXvcc |
Mar. 2024 |
Teaching Vector Databases at Scale - Alfredo Deza | Vector Space Talks #019 |
3l6F6A_It0Q |
Mar. 2024 |
Improving Recommendation Accuracy: Strategies for Analyzing TikTok and Reel Video Content |
cgHNE2UaRTo |
Mar. 2024 |
Textual Metadata: The Key to Effective Video Representation and Accessibility |
sNz4_MmJ3os |
Mar. 2024 |
Qdrant Implementation at Dailymotion |
eMsvlIu0h74 |
Apr. 2024 |
Gen AI and Vector Search - Iveta Lohovska | Vector Space Talks #020 |
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Apr. 2024 |
LLM Response Breakdown: Objective Evaluation, Bias Mitigation, and Final Scoring Factors |
I77kWKoJGag |
Apr. 2024 |
Overcoming Issues in Data Set Creation |
YVbY-SPei20 |
Apr. 2024 |
Tailoring Jailbreak Checks for Specific App Purposes |
4sN8NRBIP-k |
Apr. 2024 |
Advancements and Challenges in RAG Systems - Syed Asad | Vector Space Talks #021 |
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Apr. 2024 |
Rise of New AI Models in 2024 Enterprise Solutions |
EpHVCDOKlig |
Apr. 2024 |
The Economics of AI in Business with Hooman |
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Apr. 2024 |
Building Search/RAG for an OpenAPI spec - Nick Khami | Vector Space Talk #022 |
roLpKNTeG5A |
Apr. 2024 |
AI Agents in Clinical Trials with Hooman Sedghamiz |
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Apr. 2024 |
Reducing Communication Latency in Production |
eS8v4WnGM4U |
Apr. 2024 |
Introducing Qdrant Hybrid Cloud |
gWH2uhWgTvM |
Apr. 2024 |
The Importance of Real-Time News Indexing with Robert Caulk |
0XhxlMsZrgg |
Apr. 2024 |
The Benefits of Intra-Cluster Data Transfer Explained by Robert Caulk |
VNjh5g_9AVs |
Apr. 2024 |
Video Collection Management and Efficiency |
Al_Z8yoVER0 |
Apr. 2024 |
Reduce Complexity in Code: Insights from Francesco Zuppichini |
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Apr. 2024 |
Optimizing Retrieval Processes: Insights from Guillaume Marquis |
lNpEOvo6Bx4 |
Apr. 2024 |
How Virtual Brain is Changing the Game for Knowledge Workers |
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Apr. 2024 |
How Guillaume Marquis' AI Method Reduces Hallucination Levels |
nQTTyzLw8hw |
May. 2024 |
Open Source Innovation by Piero Savastano and Cheshire Cat |
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May. 2024 |
Deploy a Production-Ready Vector Database in 5 Minutes With Qdrant Hybrid Cloud |
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May. 2024 |
Exploring the Main Components of the Cheshire Cat with Piero |
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May. 2024 |
Understanding Quantization in Model Performance with Nicola Procopio |
01EdGLa9qCI |
May. 2024 |
Optimize RAG Resource Use With Semantic Cache |
H53L_yHs9jE |
May. 2024 |
The Power of Automation in Deployment with Alfredo Deza |
4Nu1mW2WBS8 |
May. 2024 |
Rapid RAG Optimization with Qdrant and Quotient |
3MEMPZR1aZA |
May. 2024 |
The Easiest Way to Create an Instance in Memory |
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May. 2024 |
Athletics and Innovation: The Inception of the Fosbury Flop with Alfredo |
pOjszwfIuOw |
May. 2024 |
Advanced RAG - Self Querying Retrieval |
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Jun. 2024 |
Recommendation system with Qdrant and sparse vectors (Collaborative Filtering) |
9B7RrmQCQeQ |
Jun. 2024 |
How Vector Search Algorithms Work: An Intro to Qdrant |
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Jul. 2024 |
How to Build the Ultimate Hybrid Search with Qdrant |
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Jul. 2024 |
What is RAG? Building Better LLM Systems with Qdrant |
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Aug. 2024 |
A Data Driven Approach to Productionizing RAG Systems |
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Aug. 2024 |
Securing your RAG from Prompt Injection Attacks with Sachin Dharashivkar |
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Sep. 2024 |
Fine-tuning an embedding model: sentence transformers getting emotional |
iiNZdbeP3n4 |
Oct. 2024 |
Beyond the Tutorial: Building Agents with LlamaIndex & Qdrant |
3mWIFsooibQ |
Oct. 2024 |
RAG Movie Recommendations chatbot with Qdrant and n8n |
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Oct. 2024 |
Visualizing Vector Embeddings: Qdrant’s WebUI Graph Tool |
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Oct. 2024 |
Qdrant X Emergent Methods: Prototype, Pivot, and Perfect |
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