Graphlit Changelog
DocumentationDeveloper PortalMore Information
  • 🐰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
Powered by GitBook
On this page
  • New Features
  • Bugs Fixed
  1. December 2023

December 10: Support for OpenAI GPT-4 Turbo, Llama 2 and Mistral models; query by example, bug fixes

PreviousJanuary 18: Support for content publishing, LLM tools, CLIP image embeddings, bug fixesNextOctober 30: Optimized conversation responses; added observable aliases; bug fixes

Last updated 1 year ago

New Features

  • Graphlit now supports the model, both in Azure OpenAI and native OpenAI services. Added new model enum GPT4_TURBO_VISION_128K.

  • Graphlit now supports Llama 2 7b, 13b, 70b models and Mistral 7b model, via . Developers can use their own Replicate API key, or be charged as credits for Graphlit usage.

  • Graphlit now supports the model. Added new model enum CLAUDE_2_1.

  • Graphlit now supports the model for image descriptions and text extraction. Added new model enum GPT4_TURBO_VISION_128K. See usage example in .

  • Added query by example to contents query. Developers can specify one or more example contents, and query will use vector embeddings to return similar contents.

  • Added query by example to conversations query. Developers can specify one or more example conversations, and query will use vector embeddings to return similar conversations.

  • Added vector search support for conversations queries. Developers can provide search text which will use vector embeddings to return similar conversations.

  • Added promptSpecifications mutation for directly prompting multiple models. This can be used to evaluate prompts against multiple models or compare different specification parameters in parallel.

  • Added promptStrategy field to Specification, which supports multiple strategy types for preprocessing the prompt before being sent to the LLM model. For example, REWRITE prompt strategy will ask LLM to rewrite the incoming user prompt based on the previous conversation messages.

  • Added suggestConversation mutation, which returns a list of suggested followup questions based on the specified conversation and related contents. This can be used to auto-suggest questions for chatbot users.

  • Added new summarization types: CHAPTERS, QUESTIONS and POSTS. See usage examples in the .

  • Added versioned model enums such as GPT4_0613 and GPT35_TURBO_16K_1106. Without version specified, such as GPT35_TURBO_16K, Graphlit will use the latest production model version, as defined by the LLM vendor.

  • Added lookupContents query to get multiple contents by id in one query.

  • In Content type, headline field was renamed to headlines and now returns an array of strings.

  • Entity names are now limited to 1024 characters. Names will be truncated if they exceed the maximum length.

  • In SummarizationTypes enum, BULLET_POINTS was renamed to BULLETS.

  • In ProjectStorage type, originalTotalSize was renamed to totalSize, and totalRenditionSize field was added. totalSize is the sum of the ingested source file sizes, and totalRenditionSize is the sum of the source file sizes and any derived rendition sizes.

  • In ConversationStrategy type, strategyType was renamed to type for consistency with rest of data model.

  • In Specification type, optimizeSearchConversation was removed, and now is handled by OPTIMIZE_SEARCH prompt strategy.

Bugs Fixed

  • GPLA-1725: Should ignore RSS.xml from web feed sitemap

  • GPLA-1726: GPT-3.5 Turbo 16k LLM is adding "Citation #" to response

  • GPLA-1698: Workflow not applied to link-crawled content

  • GPLA-1692: Mismatched project storage total size, when some content has errored

  • GPLA-1237: Add relevance threshold for semantic search

🎄
💡
💡
💡
💡
⚡
⚡
⚡
⚡
⚡
⚡
OpenAI GPT-4 Turbo 128k
Replicate
Anthropic Claude 2.1
OpenAI GPT-4 Vision
"Multimodal RAG" blog post
"LLMs for Podcasters" blog post