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AI-powered incident response platform combining NVIDIA AI, Hindsight persistent memory, and CascadeFlow runtime intelligence to analyze production incidents, retrieve historical knowledge, and accelerate root-cause analysis.
An embedded document database for TypeScript apps.
Cross-session memory plugin for OpenCode. Persists memories, checkpoints, and context across OpenCode sessions using PostgreSQL with pgvector. Enables true continuity between coding sessions.
ensorTree is a Zero-Ops vector database built on an SOP transactional B-tree. By embedding categories and items as tensors, it hits \(O(\log n)\) search speeds with zero index optimization. It uses relativity-inspired domain centroids to warp semantic space, removing the pigeonhole edge-case error and completely preventing LLM hallucinations.
Chatbot RAG para consulta de documentación técnica y catálogo de vehículos. Python, LangChain, OpenAI, FastAPI, ChromaDB, Docker.
SQLite-backed embedded database for records, objects, and vectors in one file.
This is for education purpose and just how SPFresh and 2 Tier DRAM and NVMe Caching works with storing vectors in S3. Keeping p99 benchmark score under 100ms. This all made by information that is out there in public. I do not work or am affliated with turbopuffer anyway. Just love and vibes 🫀.
HNSW Vector Database in C++ with AVX2 SIMD (99.3% Recall@10 on SIFT1M)
Fast, exact, embedded vector database for local RAG: in-process, on-disk, GPU-optional, private by default
Semantic clipboard manager for macOS — press ⌘⇧V and search your clipboard history by meaning, not keywords. 100% local: SwiftUI + Python, ChromaDB embeddings, no network calls.
A general-purpose second-brain engine that auto-captures conversations and recalls them via semantic search + linked notes (graph)
Local PostgreSQL Internals Assistant with Ollama, pgvector, and MCP
Personal RAG System to chat with personal documents
A RAG Engine Primarily for Research Papers
Cost and latency comparison harness for AWS vector stores: S3 Vectors, OpenSearch Serverless NextGen, Aurora pgvector, and Pinecone.
A Django AI library for generating personalized content recommendation feeds based on pgvector.
65-question Python practice curriculum — fundamentals to AI engineering (RAG, LangGraph, FastAPI, vector DBs)