There are 68 repositories under semantic-search topic.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
:mag: 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.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
🔮 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.
Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Run OpenAI's CLIP model on iOS to search photos.
Easily compute clip embeddings and build a clip retrieval system with them
A curated list of Generative AI tools, works, models, and references
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
MTEB: Massive Text Embedding Benchmark
YouTube Full Text Search - Search all of a YouTube channel from the command line
Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness
Index and query any data using LLM and natural language, tracking sources and showing citations.
🔎 Search the information available on a webpage using natural language instead of an exact string match.
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere) using AWS CDK on AWS
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
SGPT: GPT Sentence Embeddings for Semantic Search
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"