Local RAG using Ollama and Anything LLM

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Run Large Language Models locally that can interpret PDFs and websites. Local RAG. Use Ollama and Anything LLM. Easy install. 15 minutes.

GovBotics

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Great tutorial, just to add, problem with smaller models like Mistral 7b, is the lack of knowledge in various topics.In general Mistral 7b is amazing conversational model but if you start asking questions about presidents, egyptian history or specific car it would just halucinate and tell something that is funny and not true.
With anything LLM you can build massive databases on every topic you like, anatomy, behavior, social networking, just feed the model with wiki-s or scientific documents and it would become a monster that is capable to do anything.
I personally build a database for human anatomy, i feed it with medical documents and web books, and now its capable to elaborate complicated studies and giving answers about anything you can imagine, any organ, surgery procedures or even forensic science.
You can feed it with books on human psychology and it would become your best friend free therapist, with knowledge you can only dream about.
I tested this software and it's just a dream, forget about chat GPT and just use this to build Database with topics you are interested.
Anything LLM supports PDF, text files, web documents, HTML, web books formats and even audio files which is super crazy.
You can just scrape entire web sites and built into your database, and which each document model is becoming more powerfull.

ldsyxuv

Is there an API on the AnythingLLM side? I'd like to give it a folder full of PDFs and let it run overnight making summaries.

thelateknights

thanks but you dont really show how to load document, do you? I found it but What is the embedding settings. All default or ollama embedding..

stanTrX

Is this something I can run on my server without using a desktop app?

kafadek

Impossible to read a single word in smartphone

DougLopes

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