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CHANGELOG.md

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Changelog

Note: version releases in the 0.x.y range may introduce breaking changes.

0.4.1

  • patch: Add update cli entrypoint for incremental indexing
  • patch: Allow some CI/CD jobs to skip PRs dedicated to doc updates only.
  • patch: Fix a file paths issue in the viz guide.
  • patch: Fix optional covariates update in incremental indexing
  • patch: Raise error on empty deltas for inc indexing
  • patch: add visualization guide to doc site
  • patch: fix streaming output error

0.4.0

  • minor: Add Incremental Indexing
  • minor: Added DRIFT graph reasoning query module
  • minor: embeddings moved to a different workflow
  • patch: Add DRIFT search cli and example notebook
  • patch: Add config for incremental updates
  • patch: Add embeddings to subflow.
  • patch: Add naive community merge using time period
  • patch: Add relationship merge
  • patch: Add runtime-only storage option.
  • patch: Add text units update
  • patch: Allow empty workflow returns to avoid disk writing.
  • patch: Apply pandas optimizations to create final entities
  • patch: Calculate new inputs and deleted inputs on update
  • patch: Collapse covariates flow.
  • patch: Collapse create-base-entity-graph.
  • patch: Collapse create-final-community-reports.
  • patch: Collapse create-final-documents.
  • patch: Collapse create-final-entities.
  • patch: Collapse create-final-nodes.
  • patch: Collapse create_base_documents.
  • patch: Collapse create_base_text_units.
  • patch: Collapse create_final_relationships.
  • patch: Collapse entity extraction.
  • patch: Collapse entity summarize.
  • patch: Collapse intermediate workflow outputs.
  • patch: Dependency updates
  • patch: Extract DataShaper-less flows.
  • patch: Fix Community ID loading for DRIFT search over existing indexes
  • patch: Fix embeddings faulty assignments
  • patch: Fix init defaults for vector store and drift img in docs
  • patch: Fix nested json parsing
  • patch: Fix some edge cases on Drift Search over small input sets
  • patch: Fix var name for embedding
  • patch: Merge existing and new entities, updating values accordingly
  • patch: Merge text_embed into create-final-relationships subflow.
  • patch: Move embedding verbs to operations.
  • patch: Moving verbs around.
  • patch: Optimize Create Base Documents subflow
  • patch: Optimize text unit relationship count
  • patch: Perf optimizations in map_query_to_entities()
  • patch: Remove aggregate_df from final coomunities and final text units
  • patch: Remove duplicated relationships and nodes
  • patch: Remove unused column from final entities
  • patch: Reorganized api,reporter,callback code into separate components. Defined debug profiles.
  • patch: Small cleanup in community context history building
  • patch: Transient entity graph and snapshotting.
  • patch: Update Incremental Indexing to new embeddings workflow
  • patch: Use mkdocs for documentation
  • patch: add backwards compatibility patch to vector store.
  • patch: add-autogenerated-cli-docs
  • patch: fix docs image path
  • patch: refactor use of vector stores and update support for managed identity
  • patch: remove redundant error-handling code from global-search
  • patch: reorganize cli layer

0.3.6

  • patch: Collapse create_final_relationships.
  • patch: Dependency update and cleanup

0.3.5

  • patch: Add compound verbs with tests infra.
  • patch: Collapse create_final_communities.
  • patch: Collapse create_final_text_units.
  • patch: Covariate verb collapse.
  • patch: Fix duplicates in community context builder
  • patch: Fix prompt tune output path
  • patch: Fix seed hardcoded init
  • patch: Fix seeded random gen on clustering
  • patch: Improve logging.
  • patch: Set default values for cli parameters.
  • patch: Use static output directories.

0.3.4

  • patch: Deep copy txt units on local search to avoid race conditions
  • patch: Fix summarization including empty descriptions

0.3.3

  • patch: Add entrypoints for incremental indexing
  • patch: Clean up and organize run index code
  • patch: Consistent config loading. Resolves #99 and Resolves #1049
  • patch: Fix circular dependency when running prompt tune api directly
  • patch: Fix default settings for embedding
  • patch: Fix img for auto tune
  • patch: Fix img width
  • patch: Fixed a bug in prompt tuning process
  • patch: Refactor text unit build at local search
  • patch: Update Prompt Tuning docs
  • patch: Update create_pipeline_config.py
  • patch: Update prompt tune command in docs
  • patch: add querying from azure blob storage
  • patch: fix setting base_dir to full paths when not using file system.
  • patch: fix strategy config in entity_extraction

0.3.2

  • patch: Add context data to query API responses.
  • patch: Add missing config parameter documentation for prompt tuning
  • patch: Add neo4j community notebook
  • patch: Ensure entity types to be str when running prompt tuning
  • patch: Fix weight casting during graph extraction
  • patch: Patch "past" dependency issues
  • patch: Update developer guide.
  • patch: Update query type hints.
  • patch: change-lancedb-placement

0.3.1

  • patch: Add preflight check to check LLM connectivity.
  • patch: Add streaming support for local/global search to query cli
  • patch: Add support for both float and int on schema validation for community report generation
  • patch: Avoid running index on gh-pages publishing
  • patch: Implement Index API
  • patch: Improves filtering for data dir inferring
  • patch: Update to nltk 3.9.1

0.3.0

  • minor: Implement auto templating API.
  • minor: Implement query engine API.
  • patch: Fix file dumps using json for non ASCII chars
  • patch: Stabilize smoke tests for query context building
  • patch: fix query embedding
  • patch: fix sort_context & max_tokens params in verb

0.2.2

  • patch: Add a check if there is no community record added in local search context
  • patch: Add sepparate workflow for Python Tests
  • patch: Docs updates
  • patch: Run smoke tests on 4o

0.2.1

  • patch: Added default columns for vector store at create_pipeline_config. No change for other cases.
  • patch: Change json parsing error in the map step of global search to warning
  • patch: Fix Local Search breaking when loading Embeddings input. Defaulting overwrite to True as in the rest of the vector store config
  • patch: Fix json parsing when LLM returns faulty responses
  • patch: Fix missing community reports and refactor community context builder
  • patch: Fixed a bug that erased the vector database, added a new parameter to specify the config file path, and updated the documentation accordingly.
  • patch: Try parsing json before even repairing
  • patch: Update Prompt Tuning meta prompts with finer examples
  • patch: Update default entity extraction and gleaning prompts to reduce hallucinations
  • patch: add encoding-model to entity/claim extraction config
  • patch: add encoding-model to text chunking config
  • patch: add user prompt to history-tracking llm
  • patch: update config reader to allow for zero gleans
  • patch: update config-reader to allow for empty chunk-by arrays
  • patch: update history-tracking LLm to use 'assistant' instead of 'system' in output history.
  • patch: use history argument in hash key computation; add history input to cache data

0.2.0

  • minor: Add content-based KNN for selecting prompt tune few shot examples
  • minor: Add dynamic community report rating to the prompt tuning engine
  • patch: Add Minute-based Rate Limiting and fix rpm, tpm settings
  • patch: Add N parameter support
  • patch: Add cli flag to overlay default values onto a provided config.
  • patch: Add exception handling on file load
  • patch: Add language support to prompt tuning
  • patch: Add llm params to local and global search
  • patch: Fix broken prompt tuning link on docs
  • patch: Fix delta none on query calls
  • patch: Fix docsite base url
  • patch: Fix encoding model parameter on prompt tune
  • patch: Fix for --limit exceeding the dataframe length
  • patch: Fix for Ruff 0.5.2
  • patch: Fixed an issue where base OpenAI embeddings can't work with Azure OpenAI LLM
  • patch: Modify defaults for CHUNK_SIZE, CHUNK_OVERLAP and GLEANINGS to reduce time and LLM calls
  • patch: fix community_report doesn't work in settings.yaml
  • patch: fix llm response content is None in query
  • patch: fix the organization parameter is ineffective during queries
  • patch: remove duplicate file read
  • patch: support non-open ai model config to prompt tune
  • patch: use binary io processing for all file io operations

0.1.0

  • minor: Initial Release