GitHub - bclavie/RAGatouille: Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
github.com
GitHub - bclavie/RAGatouille: Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Indexify - Extraction and Retrieval from Videos, PDF and Audio for Interactive AI Applications
Indexify is an open-source engine for buidling fast data pipelines for unstructured data(video, audio, images and documents) using re-usable extractors for embedding, transformatio... See more
LLM applications backed by Indexify will never answer outdated information.
Indexify is an open-source engine for buidling fast data pipelines for unstructured data(video, audio, images and documents) using re-usable extractors for embedding, transformatio... See more
tensorlakeai • GitHub - tensorlakeai/indexify: A scalable realtime and continuous indexing engine for Unstructured Data to build Generative AI Applications
Overall, RAG and RALMs overcome the limits of language models’ memory by grounding responses in external information.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
GPT4All: An ecosystem of open-source on-edge large language models.
Important
GPT4All v2.5.0 and newer only supports models in GGUF format (.gguf). Models used with a previous version of GPT4All (.bin extension) will no longer work.
GPT4All is an ecosystem to run powerful and customized large language models that work locally on consumer grade CPUs a... See more
Important
GPT4All v2.5.0 and newer only supports models in GGUF format (.gguf). Models used with a previous version of GPT4All (.bin extension) will no longer work.
GPT4All is an ecosystem to run powerful and customized large language models that work locally on consumer grade CPUs a... See more
nomic-ai • GitHub - nomic-ai/gpt4all: gpt4all: open-source LLM chatbots that you can run anywhere
emileifrem:
There's been an explosion of research articles in the last few months discussing how to use Knowledge Graphs in RAG systems. For good reasons!
It turns out that building a knowledge graph of your data and using it in RAG gives you several powerful advantages.
1⃣ It gives you better answers to most if not ALL questions you might ask an LLM
... See more