Statistics for topic semantic-search
RepositoryStats tracks 579,129 Github repositories, of these 128 are tagged with the semantic-search topic. The most common primary language for repositories using this topic is Python (59). Other languages include: Jupyter Notebook (15), TypeScript (14)
Stargazers over time for topic semantic-search
Most starred repositories for topic semantic-search (view more)
Trending repositories for topic semantic-search (view more)
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations. Turn any online or local LLM into your personal, autonomous AI (e.g gpt, claude, ...
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
:mag: 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 d...
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Go library for embedded vector search and semantic embeddings using llama.cpp
Hybrid search engine, combining best features of text and semantic search worlds
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations. Turn any online or local LLM into your personal, autonomous AI (e.g gpt, claude, ...
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
:mag: 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 d...
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Go library for embedded vector search and semantic embeddings using llama.cpp
Hybrid search engine, combining best features of text and semantic search worlds
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
:mag: 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 d...
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Go library for embedded vector search and semantic embeddings using llama.cpp
Hybrid search engine, combining best features of text and semantic search worlds
NNV(No-Named.V) is a high-level project where we take on the challenge of deploying a all-in-one database from scratch to production. Join me on this journey!
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C...
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
Go library for embedded vector search and semantic embeddings using llama.cpp
A cutting-edge search engine project tailored specifically for the AI product
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations. Turn any online or local LLM into your personal, autonomous AI (e.g gpt, claude, ...
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
:mag: 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 d...
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C...
Go library for embedded vector search and semantic embeddings using llama.cpp
Real-time on-device text-to-image and image-to-image Semantic Search with video stream capture using USearch & UForm AI Swift SDKs for Apple devices 🍏
Hybrid search engine, combining best features of text and semantic search worlds
