Fastembed Python Packages

fastembed-vectorstore

In-memory vector store with FastEmbed integration for Python applications.

raggity

Local-first, top-tier RAG over your notes, docs & PDFs — answered by Claude (Agent SDK). Hybrid retrieval + cross-encoder rerank + verified citations; CPU-first & cross-vendor; CLI + FastAPI; LanceDB/Qdrant. AGPL-3.0.

chunkshop

Standalone ingest-to-pgvector with a built-in chunker × embedder bakeoff. Python + Rust.

cursor-mem0

mem0-compatible AI agent memory via Cursor SDK (CURSOR_API_KEY). Local embeddings, Qdrant, MCP for Cursor IDE.

qql-cli

QQL is a SQL-like query language and CLI for Qdrant vector database. Write INSERT, SEARCH, RECOMMEND, DELETE, and CREATE COLLECTION statements instead of Python SDK calls. Supports hybrid dense+sparse vector search, cross-encoder reranking, quantization (scalar, turbo, binary, product), WHERE clause filters, script execution, and collection dump/restore.

youtube-advisor

Build an AI advisor SKILL from any YouTube channel — transcripts, BM25 + semantic RAG, verbatim quotes with timestamps.

scrappy-ai

A context-aware coding assistant that understands your entire codebase.