cyberneticlibrary
← library

Build RAG indexing pipelines

archon-rag-engineersubagentsetup L3★1
VenkataAnilKumar/ArchonAI ↗
What it does

Index codebase and build semantic retrieval

Best for

Building RAG context that lets agents understand large codebases.

Inputs
  • · GitHub repo URL
  • · chunking config
  • · embedding model choice
Outputs
  • · pgvector index
  • · hybrid search index
  • · retrieval quality score
Requires
  • · pgvector
  • · text-embedding-3-small
  • · PostgreSQL
Preconditions

Repo: VenkataAnilKumar/ArchonAI. Context files must exist.

Failure modes

Missing context, invalid input format, timeout, LLM hallucination

Trust signals
  • · Detailed multi-step procedure
  • · Includes verification step
  • · Specifies claude-sonnet-4-6 model
  • · Comprehensive documentation (>2000 chars)