Research Assistant App
Sun, 25 Aug 2024 09:44:02 GMT — Properties
Properties
Key | Value |
---|---|
Identifier | research-assistant-app |
Name | Research Assistant App |
Type | Topic |
Creation timestamp | Sun, 25 Aug 2024 09:44:02 GMT |
Modification timestamp | Mon, 09 Sep 2024 08:44:51 GMT |
Top-level Flow
- Identify or describe a topic of interest
- Choose source
- Wikipedia
- arXiv
- Other sources?
- Submit topic of interest
- Semantic search against source to retrieve relevant documents
- Fetch and store documents (e.g., PDFs) in topic directory
- Index/embed the retrieved documents
- Notify user that topic of interest is available for ((G)RAG) querying
- Allow the user to view the retrieved documents and accompanying (knowledge) graph
- The user, at this point, can select / deselect individual PDFs
- Allow the user to view the retrieved documents and accompanying (knowledge) graph
- Provide the user with a query interface
- Stream response
Miscellaneous
- The user's topics of interest and related queries (together with the responses) are stored making it possible to re-visit "old" topics and accompanying queries / responses
- Topics of interest can be viewed, deleted and re-freshed (the semantic search against the chosen source is re-submitted and the relevant documents are fetched and re-indexed/embedded)
- The accompanying queries and responses
- Set of retrieved documents
- Graph visualization, etcetera
Notes
LlamaIndex vs. LangChain
LlamaIndex excels in search and retrieval tasks. It’s a powerful tool for data indexing and querying and a great choice for projects that require advanced search. LlamaIndex enables the handling of large datasets, resulting in quick and accurate information retrieval.
LangChain is a framework with a modular and flexible set of tools for building a wide range of NLP applications. It offers a standard interface for constructing chains, extensive integrations with various tools, and complete end-to-end chains for common application scenarios.
- Map: Artificial Intelligence — Info
- Topic: Research Assistant App
- Scope: Universal Active
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