Linking pages
- Why your brain is 3 milion more times efficient than GPT-4 - dead simple introduction to Embeddings, HNSW, ANNS, Vector Databases and their comparison based on experience from production project - Olaf Górski https://grski.pl/vdb 247 comments
- GitHub - imartinez/privateGPT: Interact with your documents using the power of GPT, 100% privately, no data leaks https://github.com/imartinez/privateGPT 165 comments
- Emerging Architectures for LLM Applications | Andreessen Horowitz https://a16z.com/2023/06/20/emerging-architectures-for-llm-applications/ 95 comments
- GitHub - Mintplex-Labs/anything-llm: The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more. https://github.com/Mintplex-Labs/anything-llm 77 comments
- RAG is a hack - with Jerry Liu from LlamaIndex https://www.latent.space/p/llamaindex#details 36 comments
- Should you use OpenAI's embeddings? Probably not, and here's why. https://iamnotarobot.substack.com/p/should-you-use-openais-embeddings 29 comments
- Run ChatGPT-Style Questions Over Your Own Files https://www.reaminated.com/run-chatgpt-style-questions-over-your-own-files-using-the-openai-api-and-langchain 29 comments
- GitHub - Davidyz/VectorCode: A code repository indexing tool to supercharge your LLM completion experience. https://github.com/Davidyz/VectorCode 13 comments
- GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. https://github.com/mlabonne/llm-course 10 comments
- GitHub - Shaunwei/RealChar: 🎙️🤖Create, Customize and Talk to your AI Character/Companion in Realtime(All in One Codebase!). Have a natural seamless conversation with AI everywhere(mobile, web and terminal) using LLM OpenAI GPT3.5/4, Anthropic Claude2, Chroma Vector DB, Whisper Speech2Text, ElevenLabs Text2Speech🎙️🤖 https://github.com/Shaunwei/RealChar 4 comments
- GitHub - PromtEngineer/localGPT: Chat with your documents on your local device using GPT models. No data leaves your device and 100% private. https://github.com/PromtEngineer/localGPT 4 comments
- Understanding The Role of Vector DB in AI Application https://thebeep.substack.com/p/understanding-the-role-of-vector 4 comments
- GitHub - zckly/ai-engineer-roadmap: The most comprehensive free guide for becoming an AI Engineer in 2024 https://github.com/zckly/ai-engineer-roadmap 4 comments
- 6 Best Embedded Databases for 2024 https://latitude.hashnode.dev/6-best-embedded-databases-2024 3 comments
- 70% of Developers Embrace AI Today: Delving into the Rise of Large Language Models, LangChain, and Vector Databases in Current Tech Landscape - MarkTechPost https://www.marktechpost.com/2023/07/03/70-of-developers-embrace-ai-today-delving-into-the-rise-of-large-language-models-langchain-and-vector-databases-in-current-tech-landscape/ 2 comments
- GitHub - imartinez/privateGPT: Interact privately with your documents using the power of GPT, 100% privately, no data leaks https://github.com/imartinez/privateGPT.git 2 comments
- How to Maximize LLM Performance (Lessons from OpenAI DevDay) https://humanloop.com/blog/optimizing-llms 2 comments
- GitHub - philippgille/chromem-go: Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence. https://github.com/philippgille/chromem-go 2 comments
- Building Large-Scale Image Search using VectorDB & OpenAI CLIP: From 120 Hours to 1 Hour, From $$$ to $ | SkyPilot Blog https://blog.skypilot.co/large-scale-vector-database/ 2 comments
- What is new with search? … we are re-inventing it with vector embeddings! | by Karolina Kukielka | Apr, 2023 | Medium https://karolina.medium.com/what-is-new-with-search-we-are-re-inventing-it-with-vector-embeddings-fa8219a994ef 1 comment