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Project-scoped Qdrant MCP server for workspace collections with scratchbook functionality. Python port of claude-qdrant-mcp with FastEmbed and project-aware collection management.
A blazing-fast, event-driven RAG pipeline and MCP Server built in Rust. Automatically sync local Markdown notes to Qdrant and make them semantically searchable for AI coding assistants like Cursor and GitHub Copilot.
Apex is the open-source counterpart to my commercial offering, Apex Accelerator. It does not include certain commercial components, such as the license server, binary obfuscation, and cloud-native infrastructure for authentication and persistence.
Local code indexer with MCP-based semantic search. Parses Git repos with tree-sitter, embeds via Ollama, stores in Qdrant, and exposes search as MCP tools for Claude Code, Cursor, and other LLM dev tools.
Unified three-store knowledge engine that combines Supabase/Postgres, Qdrant, and Graphiti into one logical database for proof-backed mixed-source retrieval.
An event-driven, distributed system for semantic text matching, enabling low-latency ingestion, scalable vector processing, and fast ANN-based similarity search.
A Rust caching proxy for LLM APIs. Delivers 500x faster responses (4ms vs 2s) and 90% cost reduction via Redis + Qdrant caching. Drop-in compatible with OpenAI SDKs and Groq.
aicli is a Rust-based terminal application that implements a Retrieval-Augmented Generation (RAG) workflow. It scans and chunks text files, generates embeddings, stores and queries vectors in Qdrant, and retrieves relevant context to produce accurate, context-aware responses through an interactive TUI.