18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
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Jun 12, 2024 - Jupyter Notebook
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
The platform for customizing AI from enterprise data
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
GPT-powered chat for documentation, chat with your documents
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
Run OpenAI's CLIP model on iOS to search photos.
Top2Vec learns jointly embedded topic, document and word vectors.
A curated list of Generative AI tools, works, models, and references
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
Represent, send, store and search multimodal data
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
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