LlamaIndex

This release includes numerous bug fixes across various llama-index components, improving stability and correctness. It also introduces new features such as support for new LLM models and enhanced multimodal capabilities.

This release introduces significant multimodal capabilities, including synthesis and query engines, alongside numerous bug fixes in core functionality like file I/O encoding and splitter recursion errors. Numerous dependency updates were also applied across various packages.

This release primarily focuses on dependency updates across numerous packages via mass uv lock upgrades and introduces Multimodal synthesis support in llama-index-core. Several minor bug fixes address issues related to instrumentation, caching, and token counting.

This release primarily focuses on dependency bumps across numerous packages and includes critical bug fixes in llama-index-core related to node deletion and structured output handling. A breaking change related to message block resolution was also addressed.

This release primarily focuses on dependency updates, including fixing an nltk vulnerability across numerous callback and agent packages, and minor fixes in llama-index-core.

This release focuses heavily on bug fixes across core indexing and SQL functionality, alongside introducing new LLM providers like MiniMax and updating support for models like GPT 5.4 variants and Gemini 3.

This release primarily focuses on dependency updates and deprecating Python 3.9 support across numerous packages. Core improvements include aligning text match filters and fixing several bugs related to chat streaming, metadata preservation, and structured output parsing.

This release introduces new rate limiting features, multimodal reranking, and several security and stability fixes across core components and integrations. Key improvements include better async handling and fixes for tool calling and schema introspection.

This release introduces significant multimodal support across core components, integrates the AgentMesh agent layer, and includes numerous updates for LLM providers like Anthropic and Bedrock. Several packages also removed deprecated connection parameters.

This release focuses on stability, security hardening, and compatibility updates across numerous integrations, including fixes for Pydantic validation errors and deprecation warnings. New features include cost governance via TokenBudgetHandler and expanded model support for Anthropic and OpenAI.

This release introduces distributed data ingestion via Ray, token-based code splitting, and new integrations like Apertis LLM and Volcengine MySQL vector store. Notably, ChatMemoryBuffer has been replaced by the generic Memory class.

This release introduces async tool spec support across several integrations, adds new LLM providers like AI Badgr and Typecast, and provides significant updates to MongoDB and Vertex AI vector stores. It also includes various bug fixes for metadata filtering and Pydantic schema handling.

This release introduces a mock function calling LLM for core testing and a new Airweave tool integration, alongside minor typo fixes in the Qianfan provider modules.

This release introduces support for Claude 4.5 and GPT-5.1-chat, adds the OVHcloud provider, and improves MultiModal index engines. It also includes critical bug fixes for async utilities, memory management, and various vector store connectors.

This release introduces OpenAI v2 SDK support, enhances tool calling for Google GenAI and Bedrock, and adds a new Scrapy-based web reader. It also includes critical fixes for ReAct agents and LanceDB indexing performance.

This release introduces SerpEx tool integration and expands tool call block support across Anthropic, MistralAI, and Ollama. It also adds significant updates to Bedrock, Couchbase vector stores, and GitHub authentication.

This release introduces new integrations for Isaacus and Helicone, adds async support for Bedrock retrievers, and includes critical security fixes for SQL parameterization in PostgresKVStore.

This release introduces support for next-generation models including GPT-5 and Claude 4.5/Haiku 4.5, adds Sglang and SignNow integrations, and provides significant bug fixes for document processing and streaming.

This release introduces support for Claude 4.5 and structured outputs for OpenAI-like models, while primarily addressing dependency issues and bug fixes across the ecosystem.

This release introduces ThinkingBlock support across major LLM providers, adds new PaddleOCR and Azure PostgreSQL integrations, and migrates MongoDB components to the PyMongo Asynchronous API. It also includes a critical security fix for SingleStoreDB and updates the Firecrawl reader to the v2 SDK.

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This release updates llama-index-core to 0.14.0, introducing breaking changes in workflows by removing deprecated features and methods, while adding document block support for OpenAI LLMs.

No release notes provided.