* Allow customizing the base application
* Make the core llms and embeddings customizable
* Make the settings, reasoning and index customizable
* Import from langchain_openai
- Migrate the MVP into kotaemon.
- Preliminary include the pipeline within chatbot interface.
- Organize MVP as an application.
Todo:
- Add an info panel to view the planning of agents -> Fix streaming agents' output.
Resolve: #60Resolve: #61Resolve: #62
Refactor the `kotaemon/pipelines` module to `kotaemon/indices`. Create the VectorIndex.
Note: currently I place `qa` to be inside `kotaemon/indices` since at the moment we only have `qa` in RAG. At the same time, I think `qa` can be an independent module in `kotaemon/qa`. Since this can be changed later, I still go at the 1st option for now to observe if we can change it later.
* enforce Document as IO
* Separate rerankers, splitters and extractors (#85)
* partially refractor importing
* add text to embedding outputs
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Co-authored-by: Nguyen Trung Duc (john) <trungduc1992@gmail.com>
* add rerankers in retrieving pipeline
* update example MVP pipeline
* add citation pipeline and function call interface
* change return type of QA and AgentPipeline to Document
* Move splitter into indexing module
* Rename post_processing module to parsers
* Migrate LLM-specific composite pipelines into llms module
This change moves the `splitters` module into `indexing` module. The `indexing` module will be created soon, to house `indexing`-related components.
This change renames `post_processing` module into `parsers` module. Post-processing is a generic term which provides very little information. In the future, we will add other extractors into the `parser` module, like Metadata extractor...
This change migrates the composite elements into `llms` module. These elements heavily assume that the internal nodes are llm-specific. As a result, migrating these elements into `llms` module will make them more discoverable, and simplify code base structure.
Since the only usage of prompt is within LLMs, it is reasonable to keep it within the LLM module. This way, it would be easier to discover module, and make the code base less complicated.
Changes:
* Move prompt components into llms
* Bump version 0.3.1
* Make pip install dependencies in eager mode
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Co-authored-by: ian <ian@cinnamon.is>
