Components¶

ModelClient¶

`components.model_client.anthropic_client`	Anthropic ModelClient integration.
`components.model_client.cohere_client`	Cohere ModelClient integration.
`components.model_client.google_client`	Google GenAI ModelClient integration.
`components.model_client.groq_client`	Groq ModelClient integration.
`components.model_client.openai_client`	OpenAI ModelClient integration.
`components.model_client.transformers_client`	Huggingface transformers ModelClient integration.
`components.model_client.ollama_client`	Ollama ModelClient integration.
`components.model_client.utils`	Helpers for model client for integrating models and parsing the output.

Retriever¶

`components.retriever.bm25_retriever`	BM25 retriever implementation.
`components.retriever.faiss_retriever`	Semantic search/embedding-based retriever using FAISS.
`components.retriever.llm_retriever`	LLM as retriever module.
`components.retriever.postgres_retriever`	Leverage a postgres database to store and retrieve documents.
`components.retriever.reranker_retriever`	Reranking model using modelclient as a retriever.

Output Parsers¶

`components.output_parsers.outputs`	The most commonly used output parsers for the Generator.
`components.output_parsers.dataclass_parser`	DataClassParser will help users interact with LLMs even better than JsonOutputParser and YamlOutputParser with DataClass.

Agent¶

components.agent.react

Implementation and optimization of React agent.

Data Process¶

`components.data_process.text_splitter`	Splitting texts is commonly used as a preprocessing step before embedding and retrieving texts.
`components.data_process.data_components`	Helper components for data transformation such as embeddings and document splitting.

Memory¶

components.memory.memory

Memory component for user-assistant conversations.

Reasoning¶