Jupyter Notebook vector-database

Open-source Jupyter Notebook projects categorized as vector-database
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Topics: AI Machine Learning Python vector-search feature-store
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Top 6 Jupyter Notebook vector-database Projects

  • examples

    Jupyter Notebooks to help you get hands-on with Pinecone vector databases (by pinecone-io)

    • Project mention: RAG with Groq and Llama 3 | news.ycombinator.com | 2024-05-31

  • featureform

    The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

    • Project mention: Still look familiar? | /r/u_featureform | 2023-07-13

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo

  • vector-io

    Use the universal VDF format for vector datasets to easily export and import data from all vector databases

    • Project mention: Show HN: Move data from any Vector DB to any other Vector DB | news.ycombinator.com | 2024-05-13

  • redis-ai-resources

    ✨ A curated list of awesome community resources, integrations, and examples of Redis in the AI ecosystem.

  • TileDB-Vector-Search

    Cloud-native vector similarity search and storage with efficient, serverless scale-out

    • Project mention: Ask HN: Who is hiring? (September 2023) | news.ycombinator.com | 2023-09-01

    - vector search, utilizing TileDB and TileDB Cloud for seamless scaling: https://tiledb.com/blog/why-tiledb-as-a-vector-database (library: https://github.com/TileDB-Inc/TileDB-Vector-Search)

  • ragoon

    Improve large language models (LLM) retrieval using dynamic web-search based on blazingly fast query generation from Groq chips ⚡

    • Project mention: RAGoon: Improve Large Language Models retrieval using dynamic web-search | news.ycombinator.com | 2024-05-26

    RAGoon is a Python library that aims to improve the performance of language models by providing contextually relevant information through retrieval-based querying, web scraping, and data augmentation techniques. It offers an integration of various APIs, enabling users to retrieve information from the web, enrich it with domain-specific knowledge, and feed it to language models for more informed responses.

    RAGoon's core functionality revolves around the concept of few-shot learning, where language models are provided with a small set of high-quality examples to enhance their understanding and generate more accurate outputs. By curating and retrieving relevant data from the web, RAGoon equips language models with the necessary context and knowledge to tackle complex queries and generate insightful responses.

    Link to the GitHub : https://github.com/louisbrulenaudet/ragoon

    Here's an example of how to use RAGoon:

    from groq import Groq

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook vector-database related posts

Index

What are some of the best open-source vector-database projects in Jupyter Notebook? This list will help you:

Project Stars
1 examples 2,498
2 featureform 1,724
3 vector-io 145
4 redis-ai-resources 121
5 TileDB-Vector-Search 46
6 ragoon 6

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