Cinnamon/kotaemon: An open-source RAG-based tool for chatting with your documents.
An open-source RAG-based tool for chatting with your documents. - Cinnamon/kotaemon
Cinnamon/kotaemon: An open-source RAG-based tool for chatting with your documents.
An open-source RAG-based tool for chatting with your documents. - Cinnamon/kotaemon
Brandon-c-tech/RAG-logger: RAG Logger is an open-source logging tool designed specifically for Retrieval-Augmented Generation (RAG) applications. It serves as a lightweight, open-source alternative to LangSmith, focusing on RAG-specific logging needs.
RAG Logger is an open-source logging tool designed specifically for Retrieval-Augmented Generation (RAG) applications. It serves as a lightweight, open-source alternative to LangSmith, focusing on ...
Roaming RAG – Make the Model Find the Answers - Arcturus Labs
Roaming RAG offers a fresh take on Retrieval-Augmented Generation, letting LLMs navigate well-structured documents like a human—exploring outlines and diving into sections to find answers. Forget complex retrieval setups and vector databases; this streamlined approach delivers rich context and reliable answers with less hassle. It’s perfect for structured content like technical manuals, product guides, or the innovative llms.txt format designed to make websites LLM-friendly.
NuExtract 1.5
Structured extraction - where an LLM helps turn unstructured text (or image content) into structured data - remains one of the most directly useful applications of LLMs. NuExtract is a …
GitHub - circlemind-ai/fast-graphrag: RAG that intelligently adapts to your use case, data, and queries
RAG that intelligently adapts to your use case, data, and queries - circlemind-ai/fast-graphrag
You Should Probably Pay Attention to Tokenizers
Last week I was helping a friend of mine to get one of his new apps off the ground. I can’t speak much about it at the moment,
other than like most apps nowadays it has some AI sprinkled over …
NotebookLM’s automatically generated podcasts are surprisingly effective
Audio Overview is a fun new feature of Google’s NotebookLM which is getting a lot of attention right now. It generates a one-off custom podcast against content you provide, where …
Curiosity - AI search for everything
The ultimate AI productivity app that protects your privacy. Bring all your apps and data into one AI-powered search and assistant. Get it for you and for your teams today.
GitHub - thiswillbeyourgithub/WDoc: Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement - thiswillbeyourgithub/WDoc
qhjqhj00/MemoRAG: Empowering RAG with a memory-based data interface for all-purpose applications!
Empowering RAG with a memory-based data interface for all-purpose applications! - qhjqhj00/MemoRAG
Introducing Contextual Retrieval
Here's an interesting new embedding/RAG technique, described by Anthropic but it should work for any embedding model against any other LLM. One of the big challenges in implementing semantic search …
files-to-prompt 0.3
New version of my `files-to-prompt` CLI tool for turning a bunch of files into a prompt suitable for piping to an LLM, [described here previously](https://simonwillison.net/2024/Apr/8/files-to-prompt/). It now has a `-c/--cxml` …
Long context prompting tips
Interesting tips here from Anthropic's documentation about how to best prompt Claude to work with longer documents. **Put longform data at the top**: Place your long documents and inputs …
Postgres as a search engine
Build a retrieval system with semantic, full-text, and fuzzy search in Postgres to be used as a backbone in RAG pipelines.
GitHub - NirDiamant/RAG_Techniques: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont...
RAG using unstructured data and the role of knowledge graphs
Uncovering the design space of RAG systems that use unstructured data and future work directions that are important.
Building search-based RAG using Claude, Datasette and Val Town
Retrieval Augmented Generation (RAG) is a technique for adding extra “knowledge” to systems built on LLMs, allowing them to answer questions against custom information not included in their training data. …
Ask HN: I have many PDFs – what is the best local way to leverage AI for search? | Hacker News
GitHub - truefoundry/cognita: RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry - GitHub - truefoundry/cognita: RAG (Retrieval Augmented Generation) Fra...
infiniflow/ragflow: RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. - infiniflow/ragflow
infiniflow/ragflow: RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. - infiniflow/ragflow
Introduction | Ragas
Ragas is a framework that helps you evaluate your Retrieval Augmented Generation (RAG) pipelines. RAG denotes a class of LLM applications that use external data to augment the LLM’s context. There are existing tools and frameworks that help you build these pipelines but evaluating it and quantifying your pipeline performance can be hard. This is where Ragas (RAG Assessment) comes in.
neuml/txtai: 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows - neuml/txtai
neuml/paperai: 📄 🤖 Semantic search and workflows for medical/scientific papers
parthsarthi03/raptor: The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval - parthsarthi03/raptor