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Adding retrieval to this plugin would be super powerful!
https://js.langchain.com/docs/get_started/introduction
Is something like this in the works? Potentially the chat interface could all for …
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I think this is a great project when it comes to data privacy and compliance for Organizations looking to adopt Gen AI with LLAMA 2. Adding capabilities for this private GPT to get ingested with Org s…
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The `window.ai.rag` API enables web applications to perform Retrieval-Augmented Generation (RAG) directly in the browser. RAG combines the power of large language models with the ability to retrieve a…
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Facing below errors with the Snowflake Quickstart to Build a Retrieval Augmented Generation (RAG) based LLM assistant using Streamlit and Snowflake Cortex
https://quickstarts.snowflake.com/guide/as…
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### Project Name
StoryWeave
### Description
StoryWeave is an interactive, AI-powered storytelling platform that allows users to play through a dynamic, custom-built narrative where their decisions …
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Trying to show the capabilities of Retrieval-Augmented-Generation with the help of a backend built with Flask and some static HTML. Will cover a structural format of code and also with good enough doc…
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### What features would you like to see added?
The current system requires an optimized Embeddings Database (DB) that incorporates court data to support Retrieval-Augmented Generation (RAG) process…
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File "/home/adminuser/venv/lib/python3.11/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 552, in _run_script
exec(code, module.__dict__)
File "/mount/src/retrieval-au…
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## Problem to Solve
I would like to be able to use vector embeddings to perform semantic searching over a TypeDB database, to support use cases like Retrieval Augmented Generation and integration w…
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I am exploring the development of a Retrieval-Augmented Generation (RAG) application for Android and am considering using local language models from Hugging Face’s TFLite models. I am looking for guid…