EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer
-
Updated
Mar 25, 2026 - Go
EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer
Sentiment analysis with Lexicon Based Method
CLI benchmark for pgvector — measure HNSW/IVFFlat latency (p50/p95/p99), throughput, and recall@k. Single Go binary, interactive wizard, HTML report. MIT.
Evaluation metrics for ranking and retrieval
Federated personal search across local and remote sources
Recall-compatible Org-roam search provider backed by a local Bleve index
Real-time Multi-faceted "Mind-Mapping" Datastore for Collaborative Storytelling & Brainstorming --- Let's all do "The Weave"!!!
Recall-compatible Notion search provider backed by the official Notion MCP server
Recall-compatible Slack search provider backed by Slack’s Web API
Recall-compatible Jira search provider backed by the Jira Cloud REST AP
Add a description, image, and links to the recall topic page so that developers can more easily learn about it.
To associate your repository with the recall topic, visit your repo's landing page and select "manage topics."