quivr
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Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthrop...
### What happened? A bug happened!  ### Relevant log output _No response_ ### Twitter / LinkedIn details _No response_
### What happened? A bug happened!  subsequent delation of the document does not delete the related embeddings... ### Relevant log output _No response_ ### Twitter / LinkedIn details _No...
### What happened? A bug happened!  [Bug]: the knowledge counter is stuck at 1000 ### Relevant log output _No response_ ### Twitter / LinkedIn details _No response_
Aujourd'hui, nous utilisons [LangChain Expression Language](https://python.langchain.com/v0.2/docs/introduction/) (LCEL) pour construire notre pipeline de RAG dans [backend/core/quivr_core/quivr_rag.py](https://github.com/QuivrHQ/quivr/blob/b7a081e94f73a181d7b425b4194af1b44f9df6fd/backend/core/quivr_core/quivr_rag.py). LCEL ne permet de faire que des pipelines de type DAG (sans cycle) et, de...
Sending the notification should be handled in the notifier like the rest of the knowledge
### The Feature Any plan support i18n for example Chinese Japanese etc. ### Motivation, pitch more i18n users ### Twitter / LinkedIn details _No response_
# Description Automated the setup and installation process improves the ease of getting started with the Quivr project. By ensuring that all required software is installed and properly configured, this...
* In syncfiles * In filesha1