juanpabloguerra16/vector-cookbook

Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.

Timescale Vector Cookbook

A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.

Learn more about building LLM applications with PostgreSQL as a vector database: timescale.com/ai

Sign up for a free trial cloud PostgreSQL database to use to work thru the examples in this repo.

Timescale Vector

Timescale Vector enhances pgvector with faster search, higher recall, and more efficient time-based filtering, making PostgreSQL your new go-to vector database

• Overview and Performance Benchmarks
• Timescale Vector LangChain Integration
• Timescale Vector LlamaIndex Integration
• Timescale Vector Python Client Library
• Timescale Vector Python Tutorial

PGVector

• Create, store and query OpenAI embeddings with PostgreSQL and pgvector
• Nearest Neighbor Indexes: What Are ivfflat Indexes in pgvector and How Do They Work

LangChain

• Introduction to LangChain for LLM applications using pgvector as a vectorstore

Note: If you need to setup Python, pyenv and Jupyter on your Mac, follow this handy tutorial.