Similarity Graph From Embeddings

Vector Embeddings Generator

mhamas/vector-embeddings-generator

Turn any text into semantic embedding vectors — perfect for search, similarity matching, clustering, and recommendations. Just feed your texts as JSON or a URL and get 768-dimensional vectors back. Powered by nomic-embed-text-v1.5 with 8K token context. No GPU needed.

Rag Embedding Generator

labrat011/rag-embedding-generator

Generate vector embeddings from text or chunked datasets using OpenAI or Cohere. Chains with RAG Content Chunker for end-to-end RAG pipelines. Outputs raw vectors ready for any vector database.

Website Links Graph Generator

crawlerbros/web-link-graph-visualizer

Creates an oriented graph visualizing links between webpages. Outputs: graph.png (visual network diagram) and graph.json (structured data) saved to Key-Value Store, plus detailed dataset of all crawled pages. Configure depth, boundaries, and layout.

Product Matching Vectorizer

tri_angle/product-matching-vectorizer

Builds a FAISS vector database from products in an Apify dataset using an ONNX embedding model. The resulting index is saved to a Key-Value Store for fast similarity search. After uploading your dataset to the vector database, use our E-commerce Product Matching Tool to find matching products.

Linear

Docs to Markdown + AI Embeddings → Vector DB Crawler

badruddeen/docs-to-markdown-ai-embeddings---vector-db-crawler

Turn any documentation site into clean Markdown, intelligently chunked content with embeddings (Azure/OpenAI), and directly upsert into MongoDB Atlas, Pinecone, Weaviate, Qdrant, or Milvus — ready for RAG, AI assistants, and semantic search in minutes.

RAG Pipeline

labrat011/rag-pipeline

One-click RAG pipeline: chunks text, generates embeddings, and stores vectors in Pinecone or Qdrant. Provide your content and API keys -- the orchestrator handles the rest.

Rag Vector Store Writer

labrat011/rag-vector-store-writer

Apify Actor that writes embedding vectors to Pinecone or Qdrant vector databases. Chains directly with RAG Embedding Generator output or accepts raw vectors with metadata. Handles batching, retries, collection creation, metadata mapping, and ID generation. Bring your own vector DB API key.

Documents → embeddings → vector DB. Chunking, embedding generation, and ingestion for Pinecone, Weaviate, or Chroma.

Facebook Page Poster � Auto-Post Images & Videos via Graph API

viralanalyzer/facebook-poster

Post images and videos to Facebook Pages via Graph API v21.0. Pay-per-event pricing.