Graphlit Changelog
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  • 🐰May 2025
    • May 11: Support for Amazon Bedrock models, McPoogle MCP search engine, bug fixes
  • 🐰April 2025
    • April 26: Support for OpenAI image generation, GPT-4.1, o3 and o4-mini models, bug fixes
    • April 13: Support for memory, email thread collections, Groq Llama 4 models, bug fixes
  • 🍀March 2025
    • March 27: Support for Twitter/X feed, Gemini 2.5 Pro model
    • March 15: Support for Podscan search, image similarity search, 'exists' and 'upsert' mutations
    • March 13: Support for classification workflow, notifications, Cohere Command A model, bug fixes
    • March 6: Support for MCP Server, Mistral OCR, retrieveSources, GPT-4.5, Sonnet 3.7, bug fixes
  • 💌February 2025
    • February 16: Support for Trello feed, Assembly.AI audio transcription, OpenAI o3-mini, bug fixes
  • 🎆January 2025
    • January 30: Support for Uppy file uploader, Deepseek Reasoner model, bug fixes
    • January 19: Support for at-cost LLM token pricing, multi-tenant feed deletion, bug fixes
    • January 10: Support for conversation message images, email filtering, Diffbot API key, bug fixes
    • January 4: Support for askGraphlit mutation, storage policies, bug fixes
  • 🎄December 2024
    • December 27: Support for LLM fallbacks, native Google Docs formats, website unblocking, bug fixes
    • December 22: Support for Dropbox, Box, Intercom and Zendesk feeds, OpenAI o1, Gemini 2.0, bug fixes
    • December 9: Support for website mapping, web page screenshots, Groq Llama 3.3 model, bug fixes
    • December 1: Support for retrieval-only RAG pipeline, bug fixes
  • 🦃November 2024
    • November 24: Support for direct LLM prompt, multi-turn image analysis, bug fixes
    • November 16: Support for image description, multi-turn text summarization
    • November 10: Support for web search, multi-turn content summarization, Deepgram language detection
    • November 4: Support for Anthropic Claude 3.5 Haiku, bug fixes
  • 🎃October 2024
    • October 31: Support for simulated tool calling, bug fixes
    • October 22: Support for latest Anthropic Sonnet 3.5 model, Cohere image embeddings
    • October 21: Support OpenAI, Cohere, Jina, Mistral, Voyage and Google AI embedding models
    • October 9: Support for GitHub repository feeds, bug fixes
    • October 7: Support for Anthropic and Gemini tool calling
    • October 3: Support tool calling, ingestBatch mutation, Gemini Flash 1.5 8b, bug fixes
  • 🎒September 2024
    • September 30: Support for Azure AI Inference models, Mistral Pixtral and latest Google Gemini models
    • September 26: Support for Google AI and Cerebras models, and latest Groq models
    • September 3: Support for web search feeds, model deprecations
    • September 1: Support for FHIR enrichment, latest Cohere models, bug fixes
  • 🎂August 2024
    • August 20: Support for medical entities, Anthropic prompt caching, bug fixes
    • August 11: Support for Azure AI Document Intelligence by default, language-aware summaries
    • August 8: Support for LLM-based document extraction, .NET SDK, bug fixes
  • ☀️July 2024
    • July 28: Support for indexing workflow stage, Azure AI language detection, bug fixes
    • July 25: Support for Mistral Large 2 & Nemo, Groq Llama 3.1 models, bug fixes
    • July 19: Support for OpenAI GPT-4o Mini, BYO-key for Azure AI, similarity by summary, bug fixes
    • July 4: Support for webhook Alerts, keywords summarization, Deepseek 128k context window, bug fixes
  • 🎓June 2024
    • June 21: Support for the Claude 3.5 Sonnet model, knowledge graph semantic search, and bug fixes
    • June 9: Support for Deepseek models, JSON-LD webpage parsing, performance improvements and bug fixes
  • 💐May 2024
    • May 15: Support for GraphRAG, OpenAI GPT-4o model, performance improvements and bug fixes
    • May 5: Support for Jina and Pongo rerankers, Microsoft Teams feed, new YouTube downloader, bug fixes
  • 🐇April 2024
    • April 23: Support for Python and TypeScript SDKs, latest OpenAI, Cohere & Groq models, bug fixes
    • April 7: Support for Discord feeds, Cohere reranking, section-aware chunking and retrieval
  • 🍀March 2024
    • March 23: Support for Linear, GitHub Issues and Jira issue feeds, ingest files via Web feed sitemap
    • March 13: Support for Claude 3 Haiku model, direct ingestion of Base64 encoded files
    • March 10: Support for Claude 3, Mistral and Groq models, usage/credits telemetry, bug fixes
  • 🌧️February 2024
    • February 21: Support for OneDrive and Google Drive feeds, extract images from PDFs, bug fixes
    • February 2: Support for Semantic Alerts, OpenAI 0125 models, performance enhancements, bug fixes
  • 🎆January 2024
    • January 22: Support for Google and Microsoft email feeds, reingest content in-place, bug fixes
    • January 18: Support for content publishing, LLM tools, CLIP image embeddings, bug fixes
  • 🎄December 2023
    • December 10: Support for OpenAI GPT-4 Turbo, Llama 2 and Mistral models; query by example, bug fixes
  • 🎃October 2023
    • October 30: Optimized conversation responses; added observable aliases; bug fixes
    • October 15: Support for Anthropic Claude models, Slack feeds and entity enrichment
  • 🛠️September 2023
    • September 24: Support for YouTube feeds; added documentation; bug fixes
    • September 20: Paid subscription plans; support for custom observed entities & Azure OpenAI GPT-4
    • September 4: Workflow configuration; support for Notion feeds; document OCR
  • 🎂August 2023
    • August 17: Prepare for usage-based billing; append SAS tokens to URIs
    • August 9: Support direct text, Markdown and HTML ingestion; new Specification LLM strategy
    • August 3: New data model for Observations, new Category entity
  • 🎇July 2023
    • July 15: Support for SharePoint feeds, new Conversation features
  • Graphlit Platform
    • Data API Changelog
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On this page
  • New Features
  • Bugs Fixed
  1. December 2024

December 27: Support for LLM fallbacks, native Google Docs formats, website unblocking, bug fixes

PreviousJanuary 4: Support for askGraphlit mutation, storage policies, bug fixesNextDecember 22: Support for Dropbox, Box, Intercom and Zendesk feeds, OpenAI o1, Gemini 2.0, bug fixes

Last updated 4 months ago

New Features

  • Graphlit now supports LLM fallbacks which can help protect your application from model provider downtime. By assigning the fallbacksproperty when creating your conversation, you can provide an optional list of LLM specifications to be used (in order). These fallback specifications will only be used when we failed to prompt the conversation via the main specification. Caveat, the RAG pipeline will only use the strategies provided in the main specification for prompt rewriting, content retrieval, etc. Content is not re-retrieved upon fallback - the formatted LLM prompt will be tried against each fallback specification in succession until one succeeds. ()

  • Graphlit now supports querying of all available models, through the new modelsquery in the API. This returns the model enum, model service type enum, description, and several other useful details about the models. ()

  • Graphlit now supports the ingestion of native Google Docs, Google Sheets and Google Slides documents from Google Drive feeds. These formats will be auto-exported to the corresponding Microsoft Office format (DOCX, XLSX, PPTX) prior to ingesting as content.

  • Graphlit now supports unblocking of websites, such as those using Cloudflare. You can set enableUnblockedCaptureto true on the PreparationWorkflowStageto enable unblocking - through our integration with headless browser service. This does incur an additional cost per page, compared to normal web page ingestion.

  • We have added support for assigning observations to contents ingested via feeds. By assigning observationsto the IngestionWorkflowStagein workflow object, you can assign Labels, Organizations, etc. without needing to use entity extraction.

  • We have added support for assigning observations when ingesting content via ingestUri, ingestText, etc. mutations. By passing observationsas a parameter, similar to `collections`, you can assign Labels, Organizations, etc. without needing to use entity extraction.

  • We have changed the response type of the publishContentsmutation to return PublishContentstype. This new PublishContentstype wraps the published Contentobject, and includes the new Detailsproperty of PublishingDetailstype. We have added an includeDetailsparameter to publishContentsmutation, which will fill in the Details property with a list of intermediate content summaries and the published text, among other publishing metrics.

  • We have changed the behavior of publishContentssuch that, if no content was retrieved for publishing, the mutation returns a null content object rather than returning an error.

Bugs Fixed

  • GPLA-3645: Table headers merged together on web scrape

  • GPLA-3634: Failed to extract pages from PDF with empty hyperlink text

  • GPLA-3633: Not handling empty observables properly for reranking

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