Platform

LlamaIndex

Data framework for LLM applications. We help organisations build data-connected AI applications using LlamaIndex for indexing, retrieval and query engines over proprietary data.

Strengths

What makes LlamaIndex different

LlamaIndex specialises in connecting LLMs to your data, making it the go-to framework for RAG and data-grounded AI applications.

Data connectors

Ingest data from APIs, databases, documents and SaaS tools with a wide range of built-in data connectors.

Index structures

Multiple indexing strategies including vector, keyword, tree and graph indices for different query patterns and data types.

Query engines

Sophisticated query engines that combine retrieval, synthesis and routing for accurate answers from your data.

Applications

Use cases for LlamaIndex

Knowledge bases

Build searchable knowledge bases over internal documents with natural language querying and cited responses.

Document Q&A

Ask questions across large document collections with accurate, grounded answers and source citations.

Structured data querying

Natural language interfaces over databases and APIs that translate questions into structured queries.

Multi-source retrieval

Combine data from multiple sources into unified query engines that synthesise answers across your data landscape.

Agentic RAG

Build agents that dynamically choose which data sources to query and how to combine results for complex questions.

Data pipelines

Automated ingestion, indexing and refresh pipelines that keep your AI applications current with the latest data.

Frequently Asked Questions

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications that connect to your proprietary data. It provides tools for data ingestion, indexing, retrieval and query engines.

How can The Bot Forge help with implementation?

Our team provides end-to-end support, from data architecture and setup to custom development and ongoing maintenance. We help you build production-ready data-connected AI applications.

What are the typical use cases?

LlamaIndex is commonly used for knowledge bases, document Q&A, structured data querying, multi-source retrieval and agentic RAG applications.

Build with LlamaIndex

Ready to connect your data to AI? We can help you build production applications with LlamaIndex.