release v0.3.3 (#1116)

.semversioner/0.3.3.json

@@ -0,0 +1,66 @@
+{
+  "changes": [
+    {
+      "description": "Add entrypoints for incremental indexing",
+      "type": "patch"
+    },
+    {
+      "description": "Clean up and organize run index code",
+      "type": "patch"
+    },
+    {
+      "description": "Consistent config loading. Resolves #99 and Resolves #1049",
+      "type": "patch"
+    },
+    {
+      "description": "Fix circular dependency when running prompt tune api directly",
+      "type": "patch"
+    },
+    {
+      "description": "Fix default settings for embedding",
+      "type": "patch"
+    },
+    {
+      "description": "Fix img for auto tune",
+      "type": "patch"
+    },
+    {
+      "description": "Fix img width",
+      "type": "patch"
+    },
+    {
+      "description": "Fixed a bug in prompt tuning process",
+      "type": "patch"
+    },
+    {
+      "description": "Refactor text unit build at local search",
+      "type": "patch"
+    },
+    {
+      "description": "Update Prompt Tuning docs",
+      "type": "patch"
+    },
+    {
+      "description": "Update create_pipeline_config.py",
+      "type": "patch"
+    },
+    {
+      "description": "Update prompt tune command in docs",
+      "type": "patch"
+    },
+    {
+      "description": "add querying from azure blob storage",
+      "type": "patch"
+    },
+    {
+      "description": "fix setting base_dir to full paths when not using file system.",
+      "type": "patch"
+    },
+    {
+      "description": "fix strategy config in entity_extraction",
+      "type": "patch"
+    }
+  ],
+  "created_at": "2024-09-10T19:51:24+00:00",
+  "version": "0.3.3"
+}

CHANGELOG.md

@@ -1,88 +1,106 @@
-# Changelog
-Note: version releases in the 0.x.y range may introduce breaking changes.
-
-## 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
+# Changelog
+Note: version releases in the 0.x.y range may introduce breaking changes.
+
+## 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