Jupyter Notebooks to help you get hands-on with Pinecone vector databases
$ npx skills add pinecone-io/examplesAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Multi-tool for semantic search
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
$ npx skills add pinecone-io/examplesOptimized LLM-Powered Data Processing: up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code
$ npx skills add lotus-data/lotusA FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
$ npx skills add Dicklesworthstone/swiss_army_llamaHigh performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
$ npx skills add awslabs/dgl-kePrivacy-respecting metasearch engine
$ npx skills add searx/searxRetrieval and Retrieval-augmented LLMs
$ npx skills add FlagOpen/FlagEmbeddingYouTube Full Text Search - Search all of YouTube from the command line
$ npx skills add NotJoeMartinez/yt-ftsKAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
$ npx skills add OpenSPG/KAGPrivate AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
$ npx skills add arc53/DocsGPTSearch plugins for qBittorrent search feature
$ npx skills add qbittorrent/search-plugins💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
$ npx skills add neuml/txtaiEasily compute clip embeddings and build a clip retrieval system with them
$ npx skills add rom1504/clip-retrievalResearch project. A Memory solution for users, teams, and applications.
$ npx skills add microsoft/kernel-memoryFast State-of-the-Art Static Embeddings
$ npx skills add MinishLab/model2vecOpen-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
$ npx skills add hegelai/prompttoolsAn open source, non-profit web search engine
$ npx skills add mwmbl/mwmblHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Semantra if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.