GitHub - tensorlakeai/indexify: A scalable realtime and continuous indexing engine for Unstructured Data to build Generative AI Applications
tensorlakeaigithub.com
GitHub - tensorlakeai/indexify: A scalable realtime and continuous indexing engine for Unstructured Data to build Generative AI Applications
VECTOR DATABASES ARE THE WRONG ABSTRACTION. Here’s a better way: introducing pgai Vectorizer, a new open-source PostgreSQL tool that automatically creates and syncs embeddings with source data, just like a database index.
❌ Why vector databases fail
Vector databases treat embeddings as independent data,... See more
This snippet from the Lex Fridman interview with Aravind Srinivas makes me bullish about Perplexity.
This is great (and technical) insight from a CEO.
There’s insane amount of domain knowledge you need to work on this and it takes a lot of time to build up towards a highly really good... See more
Building a web search engine from scratch in two months with 3 billion neural embeddings
blog.wilsonl.in
Building always-on, business-critical AI applications or agents on a constantly updating and growing volume of unstructured data requires resilient and fast data infrastructure.
I am super excited to finally announce @tensorlake's open-source, real-time data framework, Indexify.
Real-time processing:... See more
Diptanu Choudhuryx.comWe've added native, low-latency RAG to Conversational AI — enabling your voice agents to access and use large knowledge bases in real time. https://t.co/Xlkm7FrPZM
ElevenLabsx.com