AI, RAG and Vector Databases

If you want to use AI with RAG then go through these resources:

A great langchain RAG tutorial video from @pixegami

• https://www.youtube.com/watch?v=tcqEUSNCn8I
  • accompanying github repo: https://github.com/pixegami/langchain-rag-tutorial

The front end for Vector Databases. Works with most of the vector databases such as Pinecone, Chroma, Q
https://vectoradmin.com/

https://www.pinecone.io/

Build knowledgeable AI
With its vector database at the core, Pinecone is the leading knowledge platform for building accurate, secure, and scalable AI applications.

https://www.trychroma.com/

Chroma is the open-source AI application database. Batteries included.

https://qdrant.tech/

High-Performance Vector Search at Scale
Powering the next generation of AI applications with advanced, open-source vector similarity search technology.

https://weaviate.io/

The AI-native database for a new generation of software
Bring intuitive AI-native applications to life with less hallucination, data leakage, and vendor lock-in with the open source vector database developers love.

Comments

[Tejas Kumar]

Great resource compilation! For those exploring vector databases, it's also worth checking out Astra DB's vector capabilities - they have some interesting RAG examples and offer a generous free tier for testing. The serverless aspect makes it particularly convenient for prototyping RAG applications.