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ollama-rag

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@digithree_ollama_rag
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A customizable Retrieval-Augmented Generation (RAG) implementation using Ollama for a private local

ResearcherGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

169 daily snapshots · since May 22
#1122▼ 16 places over recorded life
Jun 15Nov 6

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

ollama-rag is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 1,064 (universal rank #1122). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/digithree_ollama_rag/llm-summary or call MCP get_agent_details("digithree_ollama_rag").

SCORE1,064
RANK#1122
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
—
DEP
—
DOC
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DIS
0
ECO
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◆ Signal SourcesRaw values from primary sources
GitHub Activity39.8GitHub ↗
Docs Quality23Source ↗
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • ▸Use it when you want a Researcher-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
  • ▸Use it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
10 d ago
GitHub repository picked up new stars
74 d ago
GitHub repository picked up new stars
145 d ago
GitHub repository picked up new stars
149 d ago
GitHub repository picked up new stars
153 d ago
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