feat: Part 4 - Introduce Main RAG Service API and its tests #629
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| from vector_store.faiss_store import FaissVectorStoreHandler | ||
| from vector_store_manager.manager import VectorStoreManager |
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Reason for Change:
This series of PR will integrate llamaindex RAG service for Kaito.
This PR introduces the main API and its endpoints.
main.pyintroduces the main APIFour endpoints are introduced:
/index- This creates a new index of the specified name/query- This queries the index for context and runs it through an LLM/document/{index_name}/{doc_id}- This retrieves a document from the specified index (this confirms if a document exists and gets its hash and metadata but does not include the documents text itself)/indexed-documents- This retrieves all documents from the specified index (including text)config.pyintroduces the configurable params passed via environment variables from the ragengine controllermodels.pyspecifies the schema required for valid HTTP requests to the endpoints specified in main.py