timescale/vector-cookbook
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
Provides practical starter kits and tutorials for integrating vector search with LangChain and LlamaIndex frameworks, leveraging Timescale Vector's optimized pgvector implementation for faster similarity search and time-based filtering. Includes sample applications like TSV Time Machine, demonstrating end-to-end patterns for semantic search, retrieval-augmented generation, and time-series-aware queries within a unified PostgreSQL backend.
125 stars. No commits in the last 6 months.
Stars
125
Forks
51
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 06, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/timescale/vector-cookbook"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tensorchord/VectorChord
Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.
tensorchord/vechord
Turn PostgreSQL into your search engine in a Pythonic way.
postgresml/postgresml
Postgres with GPUs for ML/AI apps.
soulteary/portable-docker-app
🎩 Magic in Pocket / 🪄 口袋里的“魔法”.
andreiramani/pgvector_pgsql_windows
pgvector - a PostgreSQL extension (native compiled in Microsoft Windows environment)