chore(release): rilascia versione 1.2.3

Author: strawberry-code

CHANGELOG.md

@@ -7,6 +7,13 @@ and the project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.
 
 ## [Unreleased]
 
+## [1.2.3] - 2025-12-03
+
+### Fixed
+- Pinned Ollama to v0.11.0 in Dockerfiles to avoid embedding bugs in 0.12.x/0.13.x (see [ollama#13054](https://github.com/ollama/ollama/issues/13054))
+- Added missing `num_ctx` option to batch embedding API call (`/api/embed`)
+- Restored `max_tokens` in config.yaml to 2048 (nomic-embed-text context limit)
+
 ## [1.2.2] - 2025-12-03
 
 ### Added

Dockerfile

@@ -36,8 +36,18 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ca-certificates \
     && rm -rf /var/lib/apt/lists/*
 
-# Install Ollama
-RUN curl -fsSL https://ollama.ai/install.sh | sh
+# Install Ollama - pinned to v0.11.0 to avoid embedding bugs in 0.12.x/0.13.x
+# See: https://github.com/ollama/ollama/issues/13054
+ENV OLLAMA_VERSION=0.11.0
+RUN ARCH=$(uname -m) && \
+    if [ "$ARCH" = "aarch64" ] || [ "$ARCH" = "arm64" ]; then \
+        OLLAMA_ARCH="arm64"; \
+    else \
+        OLLAMA_ARCH="amd64"; \
+    fi && \
+    curl -fsSL "https://github.com/ollama/ollama/releases/download/v${OLLAMA_VERSION}/ollama-linux-${OLLAMA_ARCH}.tgz" | \
+    tar -xz -C /usr/local && \
+    chmod +x /usr/local/bin/ollama
 
 # Install Qdrant (standalone binary - architecture aware)
 RUN ARCH=$(uname -m) && \

Dockerfile.tika

@@ -44,8 +44,18 @@ ENV PATH="${JAVA_HOME}/bin:${PATH}"
 # Tika JAR path (set after pre-download, used by lib/tika_check.py)
 ENV TIKA_JAR_PATH=/tmp/tika-server.jar
 
-# Install Ollama
-RUN curl -fsSL https://ollama.ai/install.sh | sh
+# Install Ollama - pinned to v0.11.0 to avoid embedding bugs in 0.12.x/0.13.x
+# See: https://github.com/ollama/ollama/issues/13054
+ENV OLLAMA_VERSION=0.11.0
+RUN ARCH=$(uname -m) && \
+    if [ "$ARCH" = "aarch64" ] || [ "$ARCH" = "arm64" ]; then \
+        OLLAMA_ARCH="arm64"; \
+    else \
+        OLLAMA_ARCH="amd64"; \
+    fi && \
+    curl -fsSL "https://github.com/ollama/ollama/releases/download/v${OLLAMA_VERSION}/ollama-linux-${OLLAMA_ARCH}.tgz" | \
+    tar -xz -C /usr/local && \
+    chmod +x /usr/local/bin/ollama
 
 # Install Qdrant (standalone binary - architecture aware)
 RUN ARCH=$(uname -m) && \

config.yaml

@@ -16,7 +16,7 @@ chunking:
     default: semantic
   chunk_size: 512
   overlap: 50
-  max_tokens: 8192
+  max_tokens: 2048
 
 embedding:
   provider: ollama

lib/embedding.py

@@ -124,7 +124,8 @@ def get_embeddings_batch(
                 f"{OLLAMA_URL}/api/embed",
                 json={
                     "model": EMBEDDING_MODEL,
-                    "input": valid_texts
+                    "input": valid_texts,
+                    "options": {"num_ctx": MAX_TOKENS}
                 },
                 timeout=timeout
             )