CHANGELOG.md

ChangeLog

Unreleased

Bug Fixes / Nits

• Use service context for intermediate index in retry source query engine (#7341)
• temp fix for prompt helper + chat models (#7350)

[0.8.5.post2] - 2023-08-20

New Features

• Added FireStore docstore/index store support (#7305)
• add recursive agent notebook (#7330)

Bug Fixes / Nits

• Fix Azure pydantic error (#7329)
• fix callback trace ids (make them a context var) (#7331)

[0.8.5.post1] - 2023-08-18

New Features

• Awadb Vector Store (#7291)

Bug Fixes / Nits

• Fix bug in OpenAI llm temperature type

[0.8.5] - 2023-08-18

New Features

• Expose a system prompt/query wrapper prompt in the service context for open-source LLMs (#6647)
• Changed default MyScale index format to MSTG (#7288)
• Added tracing to chat engines/agents (#7304)
• move LLM and embeddings to pydantic (#7289)

Bug Fixes / Nits

• Fix sentence splitter bug (#7303)
• Fix sentence splitter infinite loop (#7295)

[0.8.4] - 2023-08-17

Bug Fixes / Nits

• Improve SQL Query parsing (#7283)
• Fix loading embed_model from global service context (#7284)
• Limit langchain version until we migrate to pydantic v2 (#7297)

[0.8.3] - 2023-08-16

New Features

• Added Knowledge Graph RAG Retriever (#7204)

Bug Fixes / Nits

• accept api_key kwarg in OpenAI LLM class constructor (#7263)
• Fix to create separate queue instances for separate instances of StreamingAgentChatResponse (#7264)

[0.8.2.post1] - 2023-08-14

New Features

• Added support for Rockset as a vector store (#7111)

Bug Fixes

• Fixed bug in service context definition that could disable LLM (#7261)

[0.8.2] - 2023-08-14

New Features

• Enable the LLM or embedding model to be disabled by setting to None in the service context (#7255)
• Resolve nearly any huggingface embedding model using the embed_model="local:<model_name>" syntax (#7255)
• Async tool-calling support (#7239)

Bug Fixes / Nits

• Updated supabase kwargs for add and query (#7103)
• Small tweak to default prompts to allow for more general purpose queries (#7254)
• Make callback manager optional for CustomLLM + docs update (#7257)

[0.8.1] - 2023-08-13

New Features

• feat: add node_postprocessors to ContextChatEngine (#7232)
• add ensemble query engine tutorial (#7247)

Smaller Features

• Allow EMPTY keys for Fastchat/local OpenAI API endpoints (#7224)

[0.8.0] - 2023-08-11

New Features

• Added "LLAMA_INDEX_CACHE_DIR" to control cached files (#7233)
• Default to pydantic selectors when possible (#7154, #7223)
• Remove the need for langchain wrappers on embed_model in the service context (#7157)
• Metadata extractors take an LLM object now, in addition to LLMPredictor (#7202)
• Added local mode + fallback to llama.cpp + llama2 (#7200)
• Added local fallback for embeddings to BAAI/bge-small-en (#7200)
• Added SentenceWindowNodeParser + MetadataReplacementPostProcessor (#7211)

Breaking Changes

• Change default LLM to gpt-3.5-turbo from text-davinci-003 (#7223)
• Change prompts for compact/refine/tree_summarize to work better with gpt-3.5-turbo (#7150, #7179, #7223)
• Increase default LLM temperature to 0.1 (#7180)

[0.7.24.post1] - 2023-08-11

Other Changes

• Reverted #7223 changes to defaults (#7235)

[0.7.24] - 2023-08-10

New Features

• Default to pydantic selectors when possible (#7154, #7223)
• Remove the need for langchain wrappers on embed_model in the service context (#7157)
• Metadata extractors take an LLM object now, in addition to LLMPredictor (#7202)
• Added local mode + fallback to llama.cpp + llama2 (#7200)
• Added local fallback for embeddings to BAAI/bge-small-en (#7200)
• Added SentenceWindowNodeParser + MetadataReplacementPostProcessor (#7211)

Breaking Changes

• Change default LLM to gpt-3.5-turbo from text-davinci-003 (#7223)
• Change prompts for compact/refine/tree_summarize to work better with gpt-3.5-turbo (#7150, #7179, #7223)
• Increase default LLM temperature to 0.1 (#7180)

Other Changes

• docs: Improvements to Mendable Search (#7220)
• Refactor openai agent (#7077)

Bug Fixes / Nits

• Use 1 - cosine_distance for pgvector/postgres vector db (#7217)
• fix metadata formatting and extraction (#7216)
• fix(readers): Fix non-ASCII JSON Reader bug (#7086)
• Chore: change PgVectorStore variable name from sim to distance for clarity (#7226)

[0.7.23] - 2023-08-10

Bug Fixes / Nits

• Fixed metadata formatting with custom tempalates and inheritance (#7216)

[0.7.23] - 2023-08-10

New Features

• Add "one click observability" page to docs (#7183)
• Added Xorbits inference for local deployments (#7151)
• Added Zep vector store integration (#7203)
• feat/zep vectorstore (#7203)

Bug Fixes / Nits

• Update the default EntityExtractor model (#7209)
• Make ChatMemoryBuffer pickleable (#7205)
• Refactored BaseOpenAIAgent (#7077)

[0.7.22] - 2023-08-08

New Features

• add ensemble retriever notebook (#7190)
• DOCS: added local llama2 notebook (#7146)

Bug Fixes / Nits

• Fix for AttributeError: 'OpenAIAgent' object has no attribute 'callback_manager' by calling super constructor within BaseOpenAIAgent
• Remove backticks from nebula queries (#7192)

[0.7.21] - 2023-08-07

New Features

• Added an EntityExtractor for metadata extraction (#7163)

[0.7.20] - 2023-08-06

New Features

• add router module docs (#7171)
• add retriever router (#7166)

New Features

• Added a RouterRetriever for routing queries to specific retrievers (#7166)

Bug Fixes / Nits

• Fix for issue where having multiple concurrent streamed responses from OpenAIAgent would result in interleaving of tokens across each response stream. (#7164)
• fix llms callbacks issue (args[0] error) (#7165)

[0.7.19] - 2023-08-04

New Features

• Added metadata filtering to weaviate (#7130)
• Added token counting (and all callbacks) to agents and streaming (#7122)

[0.7.18] - 2023-08-03

New Features

• Added to/from_string and to/from_dict methods to memory objects (#7128)
• Include columns comments from db tables in table info for SQL queries (#7124)
• Add Neo4j support (#7122)

Bug Fixes / Nits

• Added Azure AD validation support to the AzureOpenAI class (#7127)
• add flush=True when printing agent/chat engine response stream (#7129)
• Added Azure AD support to the AzureOpenAI class (#7127)
• Update LLM question generator prompt to mention JSON markdown (#7105)
• Fixed astream_chat in chat engines (#7139)

[0.7.17] - 2023-08-02

New Features

• Update ReActAgent to support memory modules (minor breaking change since the constructor takes memory instead of chat_history, but the main from_tools method remains backward compatible.) (#7116)
• Update ReActAgent to support streaming (#7119)
• Added Neo4j graph store and query engine integrations (#7122)
• add object streaming (#7117)

[0.7.16] - 2023-07-30

New Features

• Chat source nodes (#7078)

[0.7.15] - 2023-07-29

Bug Fixes / Nits

• anthropic api key customization (#7082)
• Fix broken link to API reference in Contributor Docs (#7080)
• Update vector store docs (#7076)
• Update comment (#7073)

[0.7.14] - 2023-07-28

New Features

• Added HotpotQADistractor benchmark evaluator (#7034)
• Add metadata filter and delete support for LanceDB (#7048)
• Use MetadataFilters in opensearch (#7005)
• Added support for KuzuGraphStore (#6970)
• Added kg_triplet_extract_fn to customize how KGs are built (#7068)

Bug Fixes / Nits

• Fix string formatting in context chat engine (#7050)
• Fixed tracing for async events (#7052)
• Less strict triplet extraction for KGs (#7059)
• Add configurable limit to KG data retrieved (#7059)
• Nebula connection improvements (#7059)
• Bug fix in building source nodes for agent response (#7067)

[0.7.13] - 2023-07-26

New Features

• Support function calling api for AzureOpenAI (#7041)

Bug Fixes / Nits

• tune prompt to get rid of KeyError in SubQ engine (#7039)
• Fix validation of Azure OpenAI keys (#7042)

[0.7.12] - 2023-07-25

New Features

• Added kwargs to ComposableGraph for the underlying query engines (#6990)
• Validate openai key on init (#6940)
• Added async embeddings and async RetrieverQueryEngine (#6587)
• Added async aquery and async_add to PGVectorStore (#7031)
• Added .source_nodes attribute to chat engine and agent responses (#7029)
• Added OpenInferenceCallback for storing generation data in OpenInference format (#6998)

Bug Fixes / Nits

• Fix achat memory initialization for data agents (#7000)
• Add print_response_stream() to agengt/chat engine response class (#7018)

Bug Fixes / Nits

• Fix achat memory initialization for data agents (#7000)
• Add print_response_stream() to agengt/chat engine response class (#7018)

[v0.7.11.post1] - 2023-07-20

New Features

• Default to pydantic question generation when possible for sub-question query engine (#6979)

Bug Fixes / Nits

• Fix returned order of messages in large chat memory (#6979)

[v0.7.11] - 2023-07-19

New Features

• Added a SentenceTransformerRerank node post-processor for fast local re-ranking (#6934)
• Add numpy support for evaluating queries in pandas query engine (#6935)
• Add metadata filtering support for Postgres Vector Storage integration (#6968)
• Proper llama2 support for agents and query engines (#6969)

Bug Fixes / Nits

• Added model_name to LLMMetadata (#6911)
• Fallback to retriever service context in query engines (#6911)
• Fixed as_chat_engine() ValueError with extra kwargs (#6971

[v0.7.10.post1] - 2023-07-18

New Features

• Add support for Replicate LLM (vicuna & llama 2!)

Bug Fixes / Nits

• fix streaming for condense chat engine (#6958)

[v0.7.10] - 2023-07-17

New Features

• Add support for chroma v0.4.0 (#6937)
• Log embedding vectors to callback manager (#6962)

Bug Fixes / Nits

• add more robust embedding timeouts (#6779)
• improved connection session management on postgres vector store (#6843)

[v0.7.9] - 2023-07-15

New Features

• specify embed_model="local" to use default local embbeddings in the service context (#6806)
• Add async acall endpoint to BasePydanticProgram (defaults to sync version). Implement for OpenAIPydanticProgram

Bug Fixes / Nits

• fix null metadata for searching existing vector dbs (#6912)
• add module guide docs for SimpleDirectoryReader (#6916)
• make sure CondenseQuestionChatEngine streaming chat endpoints work even if not explicitly setting streaming=True in the underlying query engine.

[v0.7.8] - 2023-07-13

New Features

• Added embedding speed benchmark (#6876)
• Added BEIR retrieval benchmark (#6825)

Bug Fixes / Nits

• remove toctrees from deprecated_terms (#6895)
• Relax typing dependencies (#6879)
• docs: modification to evaluation notebook (#6840)
• raise error if the model does not support functions (#6896)
• fix(bench embeddings): bug not taking into account string length (#6899)x

[v0.7.7] - 2023-07-13

New Features

• Improved milvus consistency support and output fields support (#6452)
• Added support for knowledge graph querying w/ cypyer+nebula (#6642)
• Added Document.example() to create documents for fast prototyping (#6739)
• Replace react chat engine to use native reactive agent (#6870)

Bug Fixes / Nits

• chore: added a help message to makefile (#6861)

Bug Fixes / Nits

• Fixed support for using SQLTableSchema context_str attribute (#6891)

[v0.7.6] - 2023-07-12

New Features

• Added sources to agent/chat engine responses (#6854)
• Added basic chat buffer memory to agents / chat engines (#6857)
• Adding load and search tool (#6871)
• Add simple agent benchmark (#6869)
• add agent docs (#6866)
• add react agent (#6865)

Breaking/Deprecated API Changes

• Replace react chat engine with native react agent (#6870)
• Set default chat mode to "best": use openai agent when possible, otherwise use react agent (#6870)

Bug Fixes / Nits

• Fixed support for legacy vector store metadata (#6867)
• fix chroma notebook in docs (#6872)
• update LC embeddings docs (#6868)

[v0.7.5] - 2023-07-11

New Features

• Add Anthropic LLM implementation (#6855)

Bug Fixes / Nits

• Fix indexing error in SentenceEmbeddingOptimizer (#6850)
• fix doc for custom embedding model (#6851)
• fix(silent error): Add validation to SimpleDirectoryReader (#6819)
• Fix link in docs (#6833)
• Fixes Azure gpt-35-turbo model not recognized (#6828)
• Update Chatbot_SEC.ipynb (#6808)
• Rename leftover original name to LlamaIndex (#6792)
• patch nested traces of the same type (#6791)

[v0.7.4] - 2023-07-08

New Features

• MetadataExtractor - Documnent Metadata Augmentation via LLM-based feature extractors (#6764)

Bug Fixes / Nits

• fixed passing in query bundle to node postprocessors (#6780)
• fixed error in callback manager with nested traces (#6791)

[v0.7.3] - 2023-07-07

New Features

• Sub question query engine returns source nodes of sub questions in the callback manager (#6745)
• trulens integration (#6741)
• Add sources to subquestion engine (#6745)

Bug Fixes / Nits

• Added/Fixed streaming support to simple and condense chat engines (#6717)
• fixed response_mode="no_text" response synthesizer (#6755)
• fixed error setting num_output and context_window in service context (#6766)
• Fix missing as_query_engine() in tutorial (#6747)
• Fixed variable sql_query_engine in the notebook (#6778)
• fix required function fields (#6761)
• Remove usage of stop token in Prompt, SQL gen (#6782)

[v0.7.2] - 2023-07-06

New Features

• Support Azure OpenAI (#6718)
• Support prefix messages (e.g. system prompt) in chat engine and OpenAI agent (#6723)
• Added CBEventType.SUB_QUESTIONS event type for tracking sub question queries/responses (#6716)

Bug Fixes / Nits

• Fix HF LLM output error (#6737)
• Add system message support for langchain message templates (#6743)
• Fixed applying node-postprocessors (#6749)
• Add missing CustomLLM import under llama_index.llms (#6752)
• fix(typo): get_transformer_tokenizer_fn (#6729)
• feat(formatting): black[jupyter] (#6732)
• fix(test): test_optimizer_chinese (#6730)

[v0.7.1] - 2023-07-05

New Features

• Streaming support for OpenAI agents (#6694)
• add recursive retriever + notebook example (#6682)

[v0.7.0] - 2023-07-04

New Features

• Index creation progress bars (#6583)

Bug Fixes/ Nits

• Improved chat refine template (#6645)

Breaking/Deprecated API Changes

• Change BaseOpenAIAgent to use llama_index.llms.OpenAI. Adjust chat_history to use List[ChatMessage]] as type.
• Remove (previously deprecated) llama_index.langchain_helpers.chain_wrapper module.
• Remove (previously deprecated) llama_index.token_counter.token_counter module. See migration guide for more details on new callback based token counting.
• Remove ChatGPTLLMPredictor and HuggingFaceLLMPredictor. See migration guide for more details on replacements.
• Remove support for setting cache via LLMPredictor constructor.
• Update BaseChatEngine interface:
  • adjust chat_history to use List[ChatMessage]] as type
  • expose chat_history state as a property
  • support overriding chat_history in chat and achat endpoints
• Remove deprecated arguments for PromptHelper: max_input_size, embedding_limit, max_chunk_overlap
• Update all notebooks to use native openai integration (#6696)

[v0.6.38] - 2023-07-02

New Features

• add optional tqdm progress during index creation (#6583)
• Added async support for "compact" and "refine" response modes (#6590)
• [feature]add transformer tokenize functionalities for optimizer (chinese) (#6659)
• Add simple benchmark for vector store (#6670)
• Introduce llama_index.llms module, with new LLM interface, and OpenAI, HuggingFaceLLM, LangChainLLM implementations. (#6615)
• Evaporate pydantic program (#6666)

Bug Fixes / Nits

• Improve metadata/node storage and retrieval for RedisVectorStore (#6678)
• Fixed node vs. document filtering in vector stores (#6677)
• add context retrieval agent notebook link to docs (#6660)
• Allow null values for the 'image' property in the ImageNode class and se… (#6661)
• Fix broken links in docs (#6669)
• update milvus to store node content (#6667)

[v0.6.37] - 2023-06-30

New Features

• add context augmented openai agent (#6655)

[v0.6.36] - 2023-06-29

New Features

• Redis support for index stores and docstores (#6575)
• DuckDB + SQL query engine notebook (#6628)
• add notebook showcasing deplot data loader (#6638)

Bug Fixes / Nits

• More robust JSON parsing from LLM for SelectionOutputParser (#6610)
• bring our loaders back in line with llama-hub (#6630)
• Remove usage of SQLStructStoreIndex in notebooks (#6585)
• MD reader: remove html tags and leave linebreaks alone (#6618)
• bump min langchain version to latest version (#6632)
• Fix metadata column name in postgres vector store (#6622)
• Postgres metadata fixes (#6626, #6634)
• fixed links to dataloaders in contribution.md (#6636)
• fix: typo in docs in creating custom_llm huggingface example (#6639)
• Updated SelectionOutputParser to handle JSON objects and arrays (#6610)
• Fixed docstring argument typo (#6652)

[v0.6.35] - 2023-06-28

• refactor structured output + pydantic programs (#6604)

Bug Fixes / Nits

• Fix serialization for OpenSearch vector stores (#6612)
• patch docs relationships (#6606)
• Bug fix for ignoring directories while parsing git repo (#4196)
• updated Chroma notebook (#6572)
• Backport old node name (#6614)
• Add the ability to change chroma implementation (#6601)

[v0.6.34] - 2023-06-26

Patch Update (v0.6.34.post1)

• Patch imports for Document obj for backwards compatibility (#6597)

New Features

• New TextNode/Document object classes based on pydantic (#6586)
• TextNode/Document objects support metadata customization (metadata templates, exclude metadata from LLM or embeddings) (#6586)
• Nodes no longer require flat metadata dictionaries, unless the vector store you use requires it (#6586)

Bug Fixes / Nits

• use NLTK_DATA env var to control NLTK download location (#6579)
• [discord] save author as metadata in group_conversations.py (#6592)
• bs4 -> beautifulsoup4 in requirements (#6582)
• negate euclidean distance (#6564)
• add df output parser notebook link to docs (#6581)

Breaking/Deprecated API Changes

• Node has been renamed to TextNode and is imported from llama_index.schema (#6586)
• TextNode and Document must be instansiated with kwargs: Document(text=text) (#6586)
• TextNode (fka Node) has a id_ or node_id property, rather than doc_id (#6586)
• TextNode and Document have a metadata property, which replaces the extra_info property (#6586)
• TextNode no longer has a node_info property (start/end indexes are accessed directly with start/end_char_idx attributes) (#6586)

[v0.6.33] - 2023-06-25

New Features

• Add typesense vector store (#6561)
• add df output parser (#6576)

Bug Fixes / Nits

• Track langchain dependency via bridge module. (#6573)

[v0.6.32] - 2023-06-23

New Features

• add object index (#6548)
• add SQL Schema Node Mapping + SQLTableRetrieverQueryEngine + obj index fixes (#6569)
• sql refactor (NLSQLTableQueryEngine) (#6529)

Bug Fixes / Nits

• Update vector_stores.md (#6562)
• Minor BaseResponseBuilder interface cleanup (#6557)
• Refactor TreeSummarize (#6550)

[v0.6.31] - 2023-06-22

Bug Fixes / Nits

• properly convert weaviate distance to score (#6545)
• refactor tree summarize and fix bug to not truncate context (#6550)
• fix custom KG retrieval notebook nits (#6551)

[v0.6.30] - 2023-06-21

New Features

• multi-selector support in router query engine (#6518)
• pydantic selector support in router query engine using OpenAI function calling API (#6518)
• streaming response support in CondenseQuestionChatEngine and SimpleChatEngine (#6524)
• metadata filtering support in QdrantVectorStore (#6476)
• add PGVectorStore to support postgres with pgvector (#6190)

Bug Fixes / Nits

• better error handling in the mbox reader (#6248)
• Fix blank similarity score when using weaviate (#6512)
• fix for sorted nodes in PrevNextNodePostprocessor (#6048)

Breaking/Deprecated API Changes

• Refactor PandasQueryEngine to take in df directly, deprecate PandasIndex (#6527)

[v0.6.29] - 2023-06-20

New Features

• query planning tool with OpenAI Function API (#6520)
• docs: example of kg+vector index (#6497)
• Set context window sizes for Cohere and AI21(J2 model) (#6485)

Bug Fixes / Nits

• add default input size for Cohere and AI21 (#6485)
• docs: replace comma with colon in dict object (#6439)
• extra space in prompt and error message update (#6443)
• [Issue 6417] Fix prompt_templates docs page (#6499)
• Rip out monkey patch and update model to context window mapping (#6490)

[v0.6.28] - 2023-06-19

New Features

• New OpenAI Agent + Query Engine Cookbook (#6496)
• allow recursive data extraction (pydantic program) (#6503)

Bug Fixes / Nits

• update mongo interface (#6501)
• fixes that we forgot to include for openai pydantic program (#6503) (#6504)
• Fix github pics in Airbyte notebook (#6493)

[v0.6.27] - 2023-06-16

New Features

• Add node doc_id filtering to weaviate (#6467)
• New TokenCountingCallback to customize and track embedding, prompt, and completion token usage (#6440)
• OpenAI Retrieval Function Agent (#6491)

Breaking/Deprecated API Changes

• Deprecated current token tracking (llm predictor and embed model will no longer track tokens in the future, please use the TokenCountingCallback (#6440)
• Add maximal marginal relevance to the Simple Vector Store, which can be enabled as a query mode (#6446)

Bug Fixes / Nits

• as_chat_engine properly inherits the current service context (#6470)
• Use namespace when deleting from pinecone (#6475)
• Fix paths when using fsspec on windows (#3778)
• Fix for using custom file readers in SimpleDirectoryReader (#6477)
• Edit MMR Notebook (#6486)
• FLARE fixes (#6484)

[v0.6.26] - 2023-06-14

New Features

• Add OpenAIAgent and tutorial notebook for "build your own agent" (#6461)
• Add OpenAIPydanticProgram (#6462)

Bug Fixes / Nits

• Fix citation engine import (#6456)

[v0.6.25] - 2023-06-13

New Features

• Added FLARE query engine (#6419).

[v0.6.24] - 2023-06-12

New Features

• Added better support for vector store with existing data (e.g. allow configurable text key) for Pinecone and Weaviate. (#6393)
• Support batched upsert for Pineone (#6393)
• Added initial guidance integration. Added GuidancePydanticProgram for generic structured output generation and GuidanceQuestionGenerator for generating sub-questions in SubQuestionQueryEngine (#6246).

[v0.6.23] - 2023-06-11

Bug Fixes / Nits

• Remove hardcoded chunk size for citation query engine (#6408)
• Mongo demo improvements (#6406)
• Fix notebook (#6418)
• Cleanup RetryQuery notebook (#6381)

[v0.6.22] - 2023-06-10

New Features

• Added SQLJoinQueryEngine (generalization of SQLAutoVectorQueryEngine) (#6265)
• Added support for graph stores under the hood, and initial support for Nebula KG. More docs coming soon! (#2581)
• Added guideline evaluator to allow llm to provide feedback based on user guidelines (#4664)
• Added support for MongoDB Vector stores to enable Atlas knnbeta search (#6379)
• Added new CitationQueryEngine for inline citations of sources in response text (#6239)

Bug Fixes

• Fixed bug with delete_ref_doc not removing all metadata from the docstore (#6192)
• FIxed bug with loading existing QDrantVectorStore (#6230)

Miscellaneous

• Added changelog officially to github repo (#6191)

[v0.6.21] - 2023-06-06

New Features

• SimpleDirectoryReader has new filename_as_id flag to automatically set the doc_id (useful for refresh_ref_docs())
• DocArray vector store integration
• Tair vector store integration
• Weights and Biases callback handler for tracing and versioning indexes
• Can initialize indexes directly from a vector store: index = VectorStoreIndex.from_vector_store(vector_store=vector_store)

Bug Fixes

• Fixed multimodal notebook
• Updated/fixed the SQL tutorial in the docs

Miscellaneous

• Minor docs updates
• Added github pull-requset templates
• Added github issue-forms

[v0.6.20] - 2023-06-04

New Features

• Added new JSONQueryEngine that uses JSON schema to deliver more accurate JSON query answers
• Metadata support for redis vector-store
• Added Supabase vector store integration

Bug Fixes

• Fixed typo in text-to-sql prompt

Breaking/Deprecated API Changes

• Removed GPT prefix from indexes (old imports/names are still supported though)

Miscellaneous

• Major docs updates, brought important modules to the top level

[v0.6.19] - 2023-06-02

New Features

• Added agent tool abstraction for llama-hub data loaders

Miscellaneous

• Minor doc updates

[v0.6.18] - 2023-06-02

Miscellaneous

• Added Discover LlamaIndex video series to the tutorials docs section
• Minor docs updates