$ loading_
Ingest and semantically search local documents, chunks, and code blocks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Saga" yet — see the docs or source repo.
Please ingest my project docs and code directory into Saga, then search for code blocks related to "JWT auth middleware" and "request retry logic", and return the most relevant results with source file paths.
Returns the most relevant code blocks, short summaries, and source file paths for quick reuse.
Ingest my local knowledge base into Saga, search for "customer refund policy" and "enterprise permission settings", and list matching documents, relevant passages, and the highest-similarity summaries.
Outputs relevant documents, matched passages, and key summaries to answer questions or organize materials faster.
Ingest the research notes, Markdown files, and sample code in this folder into Saga, build a searchable index by topic, and demonstrate how to retrieve content by keyword and semantic similarity.
After ingestion and indexing, provides runnable search examples and explains typical returned results.
Search and reorganize SAGA archives, folders, documents, and metadata efficiently.
Search code and technical docs privately with local-first RAG for developers.
Let AI securely query private local documents with persistent memory.
Set up a local RAG server for private knowledge search and QA.
Turn unstructured documents into a searchable knowledge base for AI agents.
Safely retrieve, search, and analyze repository code structure for coding agents.