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GitHub / timescale / vector-cookbook
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timescale%2Fvector-cookbook
Stars: 81
Forks: 22
Open Issues: 6
License: None
Language: Jupyter Notebook
Repo Size: 5.55 MB
Dependencies:
45
Created: 12 months ago
Updated: 28 days ago
Last pushed: 28 days ago
Last synced: 28 days ago
Topics: approximate-nearest-neighbor-search, langchain, llamaindex, llm, nearest-neighbor-search, pgvector, postgresql, python, tutorials, vector-database, vector-search, vector-similarity
Files
Dependencies
- GitPython *
- altair *
- llama_index >=0.8.37
- numpy *
- pandas *
- psycopg2-binary *
- pydeck *
- streamlit *
- timescale_vector >=0.0.2
- Pygments ==2.17.2
- annotated-types ==0.6.0
- anyio ==4.3.0
- certifi ==2024.2.2
- click ==8.1.7
- distro ==1.9.0
- h11 ==0.14.0
- httpcore ==1.0.4
- httpx ==0.27.0
- idna ==3.6
- markdown-it-py ==3.0.0
- mdurl ==0.1.2
- openai ==1.13.3
- psycopg2-binary ==2.9.9
- pydantic ==2.6.3
- pydantic_core ==2.16.3
- python-dotenv ==1.0.1
- rich ==13.7.1
- sniffio ==1.3.1
- tqdm ==4.66.2
- typing_extensions ==4.10.0