Super RAG

Super performant RAG pipelines for AI apps

65 followers

Super performant RAG pipelines for AI apps

65 followers

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Automation tools

Summarization, Retrieve/Rerank and Code Interpreters in one simple API.

Free

Launch tags:API•Artificial Intelligence•GitHub

Launch Team

LoomHit record, hand off to AI

Promoted

Raycast

Hunter

📌

Key features • Supports multiple document formats and vector databases. • Provides a production ready REST API. • Customizable splitting/chunking. • Includes options for encoding data using different encoding models both propriatory and open source. • Built in code interpreter mode for computational question & answer scenarios. • Allows session management through unique IDs for caching purposes.

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2yr ago

this is the easiest agent builder out there. try it out and you will see what i mean. claude 3 released but no internet access. used superagent SAML framework and in a minute I have browser tool enabled. I can retrieve multiple documents to answer. or chain multiple agents together. watching this product closely to learn from the best minds.

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2yr ago

The ability to have one config file to talk to all my favorite open-source frameworks or APIs, that's what excites me. Plus the fact that this agent can be easily called with an API. Looking forward to have more agents on the platform so we can rate them and pick the best one for the job we have. I also would love to put requests for agents in there and I would pay for them. Now let's focus a little bit more on RAG: WE NEED AMAZING AND EASY TO USE RAG SYSTEMS. And we know that RAG is not a cookie cutter, we will have a very good RAG pdf for invoices that will be very bad if you use it to find the latest news in AI, for example. So we need to commoditize RAGs so everyone can use them. Super RAG is a good step in the right direction.

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2yr ago