From 7ef7aaad4e844e6da0470cea614f84f59a2cdc6a Mon Sep 17 00:00:00 2001 From: Yiorgis Gozadinos Date: Fri, 7 Nov 2025 11:58:13 +0200 Subject: [PATCH] Remove deprecation note --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index eb0a429b..6591b030 100644 --- a/README.md +++ b/README.md @@ -4,8 +4,6 @@ Retrieval-Augmented Generation (RAG) library built on LanceDB. `haiku.rag` is a Retrieval-Augmented Generation (RAG) library built to work with LanceDB as a local vector database. It uses LanceDB for storing embeddings and performs semantic (vector) search as well as full-text search combined through native hybrid search with Reciprocal Rank Fusion. Both open-source (Ollama) as well as commercial (OpenAI, VoyageAI) embedding providers are supported. -> **Note**: Configuration now uses YAML files instead of environment variables. If you're upgrading from an older version, run `haiku-rag init-config --from-env` to migrate your `.env` file to `haiku.rag.yaml`. See [Configuration](https://ggozad.github.io/haiku.rag/configuration/) for details. - ## Features - **Local LanceDB**: No external servers required, supports also LanceDB cloud storage, S3, Google Cloud & Azure