Keerthivasan-Venkitajalam/Recall
Self-learning data agent delivering insights, not SQL. 6 layers of context grounding, autonomous Learning Machine, ChatGPT-style UI with real-time pipeline visualization. Built with MCP, FastAPI, PostgreSQL+pgvector, and Google Gemini. Production-ready with OpenTelemetry traces, Prometheus metrics, and Docker deployment.
Stars
3
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 07, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/Keerthivasan-Venkitajalam/Recall"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
airweave-ai/airweave
Open-source context retrieval layer for AI agents
lotus-data/lotus
AI-Powered Data Processing: Use LOTUS to process all of your datasets with LLMs and embeddings....
similigh/simili-bot
AI-powered GitHub issue intelligence - semantic duplicate detection, cross-repo search, and...
superduper-io/superduper
Superduper: End-to-end framework for building custom AI applications and agents.
supabase/headless-vector-search
Supabase Toolkit to perform vector similarity search on your knowledge base embeddings.