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Welcome to the very first edition of Community Highlights, where we celebrate the most impactful contributions and achievements of our vector search community! 🎉
Content Highlights 🚀 Here are some standout projects and articles from our community this past month. If you’re looking to learn more about vector search or build some great projects, we recommend you to check these guides:
Implementing Advanced Agentic Vector Search: A Comprehensive Guide to CrewAI and Qdrant by Pavan Kumar Build Your Own RAG Using Unstructured, Llama3 via Groq, Qdrant & LangChain by Sudarshan Koirala Qdrant filtering and self-querying retriever retrieval with LangChain by Daniel Romero RAG Evaluation with Arize Phoenix by Atita Arora Building a Serverless Application with AWS Lambda and Qdrant for Semantic Search by Benito Martin Production ready Secure and Powerful AI Implementations with Azure Services by Pavan Kumar Building Agentic RAG with Rust, OpenAI & Qdrant by Joshua Mo Qdrant Hybrid Search under the hood using Haystack by Nicola Procopio Llama 3 Powered Voice Assistant: Integrating Local RAG with Qdrant, Whisper, and LangChain by Datadrifters Distributed deployment of Qdrant cluster with sharding & replicas by Vardhanam Daga Private Healthcare AI Assistant using Qdrant Hybrid Cloud, DSPy, and Groq by Sachin Khandewal Creator of the Month 🌟 Congratulations to Pavan Kumar for being awarded Creator of the Month!