Knowledge
Wikipedia KnowledgeBase
The WikipediaKnowledgeBase reads wikipedia topics, converts them into vector embeddings and loads them to a vector databse.
Usage
We are using a local PgVector database for this example. Make sure it’s running
knowledge_base.py
Then use the knowledge_base
with an Agent:
agent.py
Params
Parameter | Type | Default | Description |
---|---|---|---|
topics | List[str] | - | Topics to read |
vector_db | VectorDb | - | Vector Database for the Knowledge Base. |
reader | Reader | - | A Reader that reads the topics and converts them into Documents for the vector database. |
num_documents | int | 5 | Number of documents to return on search. |
optimize_on | int | - | Number of documents to optimize the vector db on. |
chunking_strategy | ChunkingStrategy | CharacterChunks | The chunking strategy to use. |
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