Browse skills

Quickly query and retrieve relevant information from your local documents using davila7's llamaindex integration.

This skill automatically converts documents into vector datasets, streamlining data preparation for semantic search and AI applications.

Identifies and extracts recipient details from documents using advanced OCR and AI analysis.

This skill assesses the quality of retrieved documents in RAG systems, ensuring accuracy and relevance for improved responses.

Find relevant documents or data points based on semantic similarity using vector embeddings powered by winsorllc.

Extracts text and structured data from scanned documents and images using advanced OCR technology.

Rag Architect constructs well-structured documents from retrieved knowledge, streamlining information synthesis and boosting research efficiency.

Cocoindex enables semantic search across your documents by indexing content for faster, more relevant retrieval – boosting productivity and knowledge discovery.