chore: performing sparse search with query expansion in langchain (#443) #453
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## Problem
Showcase the use of Pinecone sparse embeddings and sparse indexes for in
situations where dense vector search might miss specific technical
terms.
## Solution
- use Pinecone sparse embeddings
- use query expansion technique
- allow Langchain agent to search for specific technical terms from
general queries ("Which tech companies were top performers this week?"
transforms into vector search about "GOOGL performance", "NVIDIA
Performance", ...
## Type of Change
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to not work as expected)
- [ ] This change requires a documentation update
- [ ] Infrastructure change (CI configs, etc)
- [ ] Non-code change (docs, etc)
- [X] None of the above: (updates to documentation)
## Test Plan
Describe specific steps for validating this change.
---------
Co-authored-by: James Briggs <35938317+jamescalam@users.noreply.github.com>
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Problem
Showcase the use of Pinecone sparse embeddings and sparse indexes for in situations where dense vector search might miss specific technical terms.
Solution
Type of Change
Test Plan
Describe specific steps for validating this change.
Problem
Describe the purpose of this change. What problem is being solved and why?
Solution
Describe the approach you took. Link to any relevant bugs, issues, docs, or other resources.
Type of Change
Test Plan
Describe specific steps for validating this change.