Show HN: IncarnaMind-Chat with your multiple docs using LLMs

• IncarnaMind

  2 498 8.1 Python

  Connect and chat with your multiple documents (pdf and txt) through GPT 3.5, GPT-4 Turbo, Claude and Local Open-Source LLMs

• trieve

  5 632 9.9 Rust

  All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.

  

Can we talk about how dynamic chunking works by any chance? That is the most interesting piece imo.

We have a similar thing (w/ UIs for search/chat) at https://github.com/arguflow/arguflow .

- [email protected]

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• LLMStack

  20 1,112 9.9 Python

  No-code platform to build LLM Agents, workflows and applications with your data

  

We built https://github.com/trypromptly/LLMStack to serve exactly this persona. A low-code platform to quickly build RAG pipelines and other LLM applications.

• localGPT

  29 19,149 8.6 Python

  Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

I think local LLMs are great for tinkerers, and with quantization can run on most modern PCs. I am not comfortable sending over my personal data over to OpenAI/Anthropic, so I've been playing around with https://github.com/PromtEngineer/localGPT/, GPT4All, etc. which keep the data all local.

Sliding window chunking, RAG, etc. seem more sophisticated than the other document LLM tools, so I would love to try this out if you ever add the ability to run LLMs locally!

Suggest a related project