Popular GitHub Repositories for Semantic Caching

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

10 Lessons to Get Started Building AI Agents

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Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

AI 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.

CVPR 2025 论文和开源项目合集

DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and agentic system capability built in.

a coding agent with semantic retrieval & editing capabilities (MCP server)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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?.

An open-source runtime for composable workflows. Great for AI agents and CI/CD.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

? Easy-to-use and powerful NLP and LLM library with ? Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ?Text Classification, ? Neural Search, ? Question Answering, ?? Information Extraction, ? Document Intelligence, ? Sentiment Analysis etc.

? All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Retrieval and Retrieval-augmented LLMs

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.