2.1 KiB

Raw Blame History

project_name	user_name	date	total_chunks	sources_indexed	tag_vocabulary_size	retrieval_tested	status
			0	0	0	false	draft

Knowledge Index for {{project_name}}

RAG-optimized knowledge base for AI agent retrieval. Each chunk is self-contained and tagged for semantic search.

Index Summary

Total Chunks: {{total_count}}
Critical: {{critical_count}} | High: {{high_count}} | Standard: {{standard_count}} | Reference: {{ref_count}}
Sources Indexed: {{source_count}}
Last Synced: {{date}}

Critical Knowledge

Architecture Knowledge

Requirements Knowledge

Implementation Knowledge

Domain Knowledge

Operations Knowledge

Quality Knowledge

Retrieval Configuration

Query Mapping

Query Pattern	Target Categories	Priority Filter	Expected Chunks
"how to implement *"	implementation, architecture	critical, high	3-5
"testing requirements for *"	quality, implementation	critical, high	2-4
"business rules for *"	requirements, domain	all	2-3
"architecture decision for *"	architecture	all	1-3
"deployment process for *"	operations	all	1-2

Embedding Recommendations

Model: Use an embedding model that handles technical content well
Chunk Overlap: 50-100 characters overlap between adjacent chunks from the same source
Metadata Filters: Always filter by category and priority for focused retrieval
Top-K: Retrieve 3-5 chunks per query for optimal context balance